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Videos and Screen Shots
For a gallery of Manifold System Release 8.00 videos, examples and links to live Internet Map Server (IMS) web sites, please visit the Release 8.00 Gallery page. Manifold System Release 8.00, the world's best classic GIS, provides so many rich capabilities it needs a separate Gallery page.
Before release in 2017, Manifold Release 9 was known as Manifold Future during the Cutting Edge series of open beta builds. Radian Studio was the data-centric product, now deprecated in favor of Release 9. Release 9 is a huge superset of Radian Studio and Manifold Future.
Viewer is Free
Manifold Viewer is a read-only subset of Manifold Release 9.
Viewer provides phenomenal capability to view and to analyze almost all possible different types of data.
Manifold Viewer is built on the Manifold engine so Viewer retains Manifold parallel CPU speed and Manifold parallel SQL.
Manifold publishes many videos on the Manifold Sales YouTube channel. Clicking on a thumbnail launches the video in YouTube.
Manifold Viewer - How Matrix Filters Work
The easy, simple way to learn how filters work! Watch this action-packed video using Manifold Viewer that illustrates how matrix filters, also known as convolution filters, work. In addition to explaining filters, the video provides a real-life look at simple Manifold techniques for moving objects around in drawings using the Shift transform, and fast and easy use of Selection and tables to quickly put desired values into attributes. Sound technical? Sure, but in a very easy and simple way.
Manifold Viewer - Create Custom GPU Accelerated Filters in Seconds
A technical video using the free Viewer showing how to create your own, fully custom, fully GPU-parallel, convolution matrix filters, including Emboss, Sobel, Prewitt, and Kirsch edge detection and many more, for use in Viewer or Release 9. Modify the spatial SQL examples in the downloadable example project to specify a custom matrix and in seconds your custom filter can do image processing at GPU-parallel speeds. Viewer is read-only, but you can copy and paste the query text for custom filters to and from Notepad or any other text editor. Download the Custom_Filter_Examples.mxb sample project to try out the video in Viewer or Release 9.
Manifold Viewer - Speed demo with 1280 GPU cores - 2 Minutes vs 5 Days
Watch the free Manifold Viewer run CPU parallel and GPU parallel with 8 CPU cores and 1280 GPU cores to absolutely crush a job, doing in 2 minutes what would take non-GPU-parallel software 5 days. The video shows Viewer instantly pop open a 4 GB project that contains a huge, multi-gigabyte terrain elevation surface for Crater Lake, Oregon. With a point and click - no parallel code required - we compute the mean curvature at each pixel of the surface using a 7x7 matrix in under two minutes. We combine that with the original surface for enhanced hill shaded effects to better see details. Using an 11x11 matrix takes just over two minutes, a huge computation that takes days in non-GPU-parallel GIS packages.
Manifold Viewer - Synthetic Imagery using Multiple Styles
A video that continues where the "Display Color Infrared..." video left off. See how to link an NAIP four band image instead of importing it, and then how to copy and paste multiple versions of the same image. All of them take data from the same table, but each can be styled, panned and zoomed independently, with views synced as desired. We create a view in natural color, another in Color Infrared CIR, another using a different Infrared display and then yet another view with Infrared used for all three channels, formatted as a palette image using a synthetic palette, hill shaded, and then used to "pan sharpen" a natural color version of the same image. Wow! All that in a totally free Viewer!
Manifold Viewer - Display Color Infrared (CIR) from NAIP Images
Use the free Manifold Viewer to take a 440 MB, four band NAIP image that shows Redding, California, and create a Color Infrared (CIR) display providing a false color image using the Infrared band of the NAIP image. See how easy it is in Viewer with a few mouse clicks to instantly re-assign channels in images. Viewer is so fast that it can import and display 450 MB images in seconds and pan and zoom within those images instantly. A video version of the Example: Display an NAIP Four Band Image as Color Infrared (CIR) topic.
Manifold Viewer - GPU Parallel Computation with Viewer
NEW! Viewer now gains automatic, massively parallel GPU computation just like Release 9! This video shows examples running GPU parallel computations - no programming required, just point and click dialogs! - using the Mt_Hood_DEM.mxb sample project we can download from the Manifold website. It includes a speed comparison with a classic, non-parallel GIS, QGIS, and shows how computations can be scaled up to massively demanding jobs that still get done in a few seconds. Amazing, and totally free!
Manifold 9 - Style Panel Quickstart - Labels
Recent builds of Release 9 have added extensive new style facilities for labels, making it easy to choose a wide variety of effects, including sidecar icons, box frames, drop shadows and many others. This video shows how fast and easy point-and-click dialogs make it easy to create exactly the label look you want. Works for the free Manifold Viewer, too!
Manifold 9 - Style Panel Quickstart - Areas
New area style capabilities in Release 9 and Viewer make it easy to rapidly create spectacular visuals that get the story across with clarity and compelling effect. Learn how to use point and click controls to fill areas, control borders, draw "inner area" effects and "outer area" effects for a seeming infinite range of options, all available with a rapid click of the mouse. Use bitmap images for area effects too!
Manifold 9 - Style Panel Quickstart - Lines
Learn how to use the spectacular new style capabilities for lines in Manifold Release 9 and Manifold Viewer to create an endless variety lines quickly and easily. See how to add arrowheads or other symbols to the ends of lines, how to customize lines with repeating symbols, how to start lines with custom symbols and how to add accessory left and right lines for exactly the right effect.
Manifold 9 - Style Panel Quickstart - Points
A fast and easy introduction to the new Style and formatting capabilities for Pionts in Manifold Release 9 and Viewer. Learn how to rapidly change colors, symbology, sizes and rotations including the use of vector symbols, fonts and even bitmap images. The new system is "always on" and immediately shows changes in the main workspace for rapid, easy choice of exactly the visual effect we want. This video gets right to the basics used every day.
Manifold 9 - Bitmap Styles
A quick, first look at very extensive additions to Style, enabling use of bitmaps for styles, inner and outer area hatches, left and right line style additions and many other new features.
Manifold 9 - New Style Features
A first look at the new Style panel in Release 9, with over 1300 symbols by default and endless combinations of line and area symbology. New Style features are incredibly fast and easy to use to create just the right effect. This video uses point styles as an example, including thematic formatting. Works in the free Viewer, too! A video version of the Example: Change Point Style topic.
Manifold 9 - Bounded Areas
The Bounded Areas transform template creates areas within regions that are enclosed by lines. The template works with a single click, and automatically reckons any regions enclosed by either intersecting lines or by lines that are coincident end to end. Easy! Works in the free Viewer, too. A video version of the Example: Bounded Areas topic.
Manifold 9 - Copy to Selection
A short video showing how to copy the same, desired value to fields in all selected records. This is a great way to make changes to many records at once in a table. This technique is a life saver when making edits to tables. Works in the free Viewer, too.
Manifold Viewer - View GDB Faster than ArcGIS Explorer
ESRI's ArcGIS Explorer product is a free viewer that allows ESRI people to view ESRI GDB Geodatabases, along with other data. Unfortunately, ESRI has stopped producing Explorer and has replaced it with ArcGIS Earth, which cannot connect to and display ESRI GDB Geodatabases. Manifold Viewer is a free Viewer that connects to ESRI GDB Geodatabases and using ESRI's own format can display and work with geodatabases even faster than ArcGIS Explorer. The video compares Explorer to Viewer side-by-side so ESRI users can see that if they need to continue viewing GDB Geodatabases for free they can reliably use Viewer for fast, high quality GDB viewing. Download Manifold Viewer for free. Related topics for Viewer and Manifold 9: Example: Connect to an ESRI GDB File Geodatabase and Example: Convert an ESRI File Geodatabase into a .map Project and Example: Connect LibreOffice Through Manifold to an ESRI GDB.
Manifold Viewer - Wildfires
This video has been produced on an emergency basis in response to Northern California wildfires. It shows how to use the free Manifold Viewer to open and work with the Wildfires.mxb (6 KB) project providing satellite-detected wildfire information from US government servers with a consolidated set of layers that support fighting wildfires. The project contains a pre-built map designed for beginners to use that shows the last 24 hours of wildfires detected by MODIS and VIIRS satellite sensing, with many other convenient layers built into the project. Download Manifold Viewer for free. Use Viewer or Release 9 with this project.
Manifold Viewer - Install and Run
For Manifold Viewer and Manifold Release 9 - Shows how to unzip and run a "portable" installation used for Viewer Edge, the latest and greatest build of the free Manifold Viewer. The same instructions for using "portable" installations work for portable installations of Manifold Release 9. The video also shows how to open a pre-made project, using the Manifold_World_Volcanoes.mxb (47 KB) project as an example, and how to import a shapefile and view it in Viewer, changing the styling of points and adding labels. We finish by adding an OpenStreetMaps web server layer. Download Manifold Viewer for free!
Manifold Viewer - Volcanoes
For Manifold Viewer and Manifold Release 9 - How to use the Manifold_World_Volcanoes.mxb (47 KB) project for Manifold Viewer Edge or Release 9, a project that is pre-configured with over 430 point-and-click locations to view major volcanoes all over the world. Includes a map with Bing and Google satellite layers, Google Terrain layer, Street layers from both Microsoft and Bing, all of which make it easy to explore volcanoes even in remote locations where cloud cover or snow prevents a clear view of volcano details in either Google or Bing. Download Manifold Viewer for free!
Manifold 9 - Mass Produce Locations with a Script
Shows how to use the Create Locations script to automatically mass produce a folder full of locations from a geocoded table. We often get lists of places as tables where each place has a name and a latitude and longitude. The script instantly makes a location, like a bookmark, for each record in the table, allowing our users to pan and zoom to that location with a single click. The video shows the script is used to mass produce interesting locations in Google, tourist views of Chateaux in France, and to show a list of castles for sale. Perfect for anybody selling or reviewing real-estate, or just to view historic, ecological, business, military or government locations! A video version of the Example: VBScript to Create Locations from a Table topic.
Manifold 9 - Famous Google Sights
Locations are a great way to publish lists of sights to view in Google, Bing or other web servers. The server_sights.mxb (4 KB) project published on Manifold's web site provides a list of locations often cited on Internet as interesting things to see on Google Maps. View this in the free Manifold Viewer using a project that contains Bing and Google image layers to provide the best possible view for each.
Manifold 9 - Microsoft JSON Building Footprints
Microsoft has recently published vector footprints of over 125 million buildings in the US in GeoJSON format, using a .json file extension. Manifold Release 9 and Manifold Viewer directly import Microsoft's JSON files for spectacular views of building footprints. This video shows how to import Microsoft JSON building footprint files in 9 or Viewer and how to overlay them in a map using video and street map layers. A video version of the Example: Import GeoJSON / JSON File topic.
Manifold 9 - Locations
Manifold now includes a fast, elegant and easy way of saving Locations, like bookmarks, that allow us to return to the same view when working with maps, drawings, images, labels and other windows. This video shows how easy it is to save a location, to visit prior locations, to copy/paste and to modify scale in locations. A Location is just a text string in JSON that we can edit, re-cycle and modify at will. If we like, we can modify hundreds of Locations at once. A video version of the Example: Locations topic.
Manifold 9 - A Walk in the Rain Forest
A recent thread in the Manifold user forum discusses how to use SQL to create lines from a sequence of points recorded with a GPS device. We take user data collected during a walk in the rain forest near Cairns, Australia, and we create lines using a simple application of spatial SQL. Backgrounds use satellite and street map layers from Bing that make it easy to see the intricate walk through the rain forest collecting exotic flora. Just a typical day at the office when your GIS office is a rain forest!
Manifold 9 - Merge Drawings
New builds in Release 9 and Manifold Viewer make it simple and easy to combine multiple drawings into a single drawing. Drawings to be combined can be in different coordinate systems and contain a mix of objects, such as points, lines and areas, and all will be automatically combined into a drawing that has the desired coordinate system. This video shows how to do that in a few effortless clicks with the Merge dialog, no programming required!
Manifold 9 - Merge Images
Manifold makes it easy to combine rasters like images and terrain elevation data from many different files or layers into a single layer or data set. The new Merge dialog will automatically deal with overlaps, different coordinate systems and similar real world complications. This video shows how to merge step by step, and then colors the result with a palette and applies hill shading. A video version of the Example: Merge Images topic. Works in Viewer too!
Manifold 9 - Compare Country Sizes
Many people want to compare the true sizes of countries. In this video we show how to use different capabilities within Manifold to create a display that instantly shows the relative sizes of four countries: United States, Brazil, China and Australia. Very fast and easy! Works with Manifold Release 9 and the free download of Manifold Viewer. A video version of the Example: Compare Sizes of Countries topic. Download the world map of countries in the world.mxb (1221 KB) project for Release 9 and Manifold Viewer.
Manifold 9 - Re-project a Shapefile
New coordinate system dialogs make it easier than ever to re-project data, often in only one click. This video shows how to import a shapefile and then rapidly re-project it into different coordinate systems. We then show how maps re-project their contents on the fly for display and how to exploit that to rapidly show data in different projections.
Manifold 9 - Incredibly Convenient Zooms
Manifold Viewer and Release 9 have long had fast and easy navigation, with quick panning and zooming. New features make that easier than ever: see how with a single click we can zoom in layers and zoom to selections. Incredibly fast and truly convenient!
Manifold 9 - View and Scrape GeoJSON from Geoplatform
See how to view many thousands of data sources in the US government index to online GIS data at www.geoplatform.gov - this video shows how to view GeoJSON data and how to "scrape" data, that is, to acquire your own local copy of vector data served by URLs listed in geoplatform.gov and save it to a shapefile. Scrape data with a simple copy and paste - no need to write Python or any other code. Use the free Manifold Viewer to view and scrape data, and use Manifold Release 9 to export to shapefiles, to other formats or to copy and paste into databases like PostgreSQL.
Manifold 9 - Infinite Undo
A fast and easy method to recover from editing errors, providing virtually an infinite, endless Undo that can restore objects to their prior versions. We show two different techniques, one which is a lifesaver in cases where we may have forgotten to backup tables before starting edits. A video version of the Example: Repair a Wrong Edit using a Backup topic.
Manifold 9 - Drawings from Queries
Manifold can dynamically create drawings from queries, enabling on the fly creation of drawings based on whatever magic we want. This video shows how to create drawings from queries, how to style those drawings, and how to use them as if they were ordinary static drawings. We can copy objects from them, paste into new tables and much more. The video shows how Manifold can automatically write queries for us from which we can then create drawings. For example, make a selection in one map and see that selection updated in a query-driven drawing in another map. Amazing! Works with free Viewer, too. Download the Mexico_queries.mxb (681 KB) example project used in the video and launch it in Release 9 or in Viewer.
Manifold 9 - Point and Click Select by Topology
New topology selection tools in Release 9 make it point-and-click-easy to select objects based on topology / geometric relationships with different layers, such as selecting all rivers that touch areas in another layer. This video uses a map of Europe to show how easy it is to use point-and-click templates for adjacent, contained, containing, intersecting and touching. Works with Manifold Viewer as well. Download your free Viewer and try it today. Download the select_by_topology_video.mxb (874 KB) example project used in the video and launch it in Release 9 or in Viewer.
Manifold 9 - Trace Vector Areas from Raster Pixels
Release 9 automatically creates vector areas based on raster data. In this video we use the point-and-click Trace Areas template to automatically create areas for different regions of Land Use and Land Classification (LULC) in the vicinity of San Jose, California. We use USGS LULC raster data set to instantaneously create a drawing of areas and then we color the drawing using Style. For extra credit, we show how to use a snippet of SQL to instantly add the USGS classification codes for land use to the resulting drawing. Works in Viewer, too!
Manifold 9 - Contour a 300 MB DEM in Five Seconds
Watch Manifold Release 9 or Manifold Viewer create vector contours in seconds for a terrain elevation raster data set that is almost 300 MB in size. Both Release 9 and Viewer running fully parallel, to create contours using all the cores in computer simultaneously. That can run dozens of times faster than non-parallel GIS. Try for yourself using Viewer!
Manifold 9 - Five Minutes for Contours
In only five minutes learn how to use the new contours capability in Release 9 and Manifold viewer. Pre-built templates make the creation of contours point-and-click easy. Release 9 is so incredibly fast we can changes settings like contour steps and see previews of the contours that will be created in real time. Wow! Download the Florida_palette_hillshading_example.mxb (5946 KB) example project in Release 9 .mxb format and try it yourself in Release 9 or the free Viewer.
Manifold 9 - Select Labels and Dynamically Transform
In this quick and easy video we show how to select labels and then dynamically transform the field behind the label using the Transform panel. This video repeats the last example in the Labels topic in the User Manual to show how it can be done in seconds. Fast!
Manifold 9 - Copy and Paste Part 2
We continue with our look at copy and paste, this time looking at how we can paste using different names for attribute fields. When Manifold can match up attribute fields by name the system will do so, but if we want to use differently-named fields that's easy to do also, as this video shows.
Manifold 9 - Copy and Paste Part 1
The latest builds add seamless copy and paste between drawings, maps and tables. We copy objects from one drawing and paste them into another. Manifold automatically re-projects copied objects from whatever coordinate system the source uses into the coordinate system of the destination. Manifold even re-projects on the fly multiple, different geometries. We can either let Manifold paste automatically or choose options. See how!
Manifold 9 - New Layout Features in 9
Release 9 provides many new facilities for print layouts, allowing easy re-ordering of frames, layer transparency in frames, custom background colors per frame, new text label boxes and much more. This video provides a quick look at highlights, using a landscape paper format for a larger view of the layout onscreen. For background on the many builds leading up to Release 9, see the Manifold Future series of videos.
Manifold 9 - Per-Object Formatting in 9
Release 9 adds new formatting capabilities, including the ability to set the formatting of objects individually instead of using the same formatting for all objects in a layer. The video shows how to turn on per-object (per-record) formatting, to change the style of objects, setting formatting for each individually if desired. The video also shows how individual formatting is saved in human-readable JSON form in a drawing's table, allowing us to manipulate style on a per-record basis programmatically, with SQL or by simply copying and pasting between records. If we like, we can have multiple styles per record saved as well.
Manifold 9 - New Labels Features in 9
Take a look at new Labels features in Release 9 that can be used in the latest, free Manifold Viewer Edge as well. With two clicks we add labels to a map where each label automatically takes its text from fields in a drawing layer. Next we use a single click to create a labels layer that allows us to interactively add a label wherever we want, as a point label or along a line we draw. We see how to turn on per-label formatting so each label can be styled differently.
Manifold Future - Future Tour Part 1
This video shows how to download and use a portable installation for Manifold Future, the new public beta for transitioning Manifold Release 9 into the next Manifold GIS edition. Almost all Manifold licensees now use Future, and the Future Viewer version of the free Manifold Viewer product also tracks Manifold Future. Part 1 of the tour shows the Contents, pane, layers and layer opacity, one click use of data source favorites, using your own archival favorite and getting record values instantly. If you are using Viewer or Manifold Release 9, download and use the Future version to get access to all these powerful new features.
Manifold Future - Future Tour Part 2 Editing
We take a tour through new, fast and easy editing features in Manifold Future. See why experienced Manifold users post comments in the forum like "It is excellent, beautiful design." and "Everything is right there, we barely have to think. This is really really good." The video shows how to create new objects, how to add fields and vertices and move vertices around, how to edit existing objects and how to use simple selection methods to choose vertices to move together, including moving all objects.
Manifold Future - Future Tour Part 3 Editing
The editing tour continues with a look at how to create branched objects, including how to create areas with holes and islands, how to add branches to lines and how to add coordinates between vertices in existing objects. We finish up by creating an area that traces over a pond in the Luxembourg Gardens in Paris using a Google satellite view, and then we add a hole to that area and two additional islands.
Manifold Future - Future Tour Part 4 Edit Attributes, Move a Point
We use Manifold Future to see how to view attributes of objects in drawings, including use of the new Edit dialog to view long, multi-paragraph text fields. We edit fields and see how easy it is to preview edits and either accept them or abandon them. We switch to editing the geometry of objects in a drawing, viewing the coordinate locations and using mouse moves to reposition points. We edit the location of a point to correct an error in a drawing, using Google Satellite view to provide context for the correction. Fast and easy, with previews all the way!
Manifold Future - Future Tour Part 5 Unicode Attributes and IME
We take a tour through Manifold Future attribute editing, showing how to edit attributes in a drawing using the Record panel Values tab and the expanded Edit dialog, including advanced Unicode facilities and use of the built in Input Method Editor (IME) to input text in Japanese language.
Manifold Future - Future Tour Part 6 Cell Context Menu
A short video showing a fast and easy way to copy between cells in tables using the context menu. Also... one step undo of pending changes, setting the value of a cell to NULL and more. The context menu on cells is such a simple thing but it makes repetitive editing of tables much faster and easier.
Manifold Future - 5 Minute Style Quickstart
A five minute, fast and easy introduction to the new Style and formatting capabilities in Manifold Future. In just five minutes learn how to rapidly change colors, symbology, sizes and rotations for area, line and point objects in drawings. The new system is "always on" and immediately shows changes in the main workspace for rapid, easy choice of exactly the visual effect we want. This video gets right to the basics used every day.
Manifold Future - Example: Style Panel Quickstart
A video that repeats the Example: Style Panel Quickstart topic from the Manifold Future user manual in eight minutes of action-packed fun! The video shows how to format points using the Style panel, including simultaneous formatting of multiple style properties using the same thematic format setup. See how to use free meteorology symbols from a popular, free font, how to use letters and other symbols as point symbology and more.
Manifold Future - Example: City Sizes by Population
Yet another fast-paced video that repeats the Example: Format the Size of City Points by Population topic from the Manifold Future user manual. The video shows how to vary the sizes and colors of points in a map by the populations of cities those points represent, a classic example of thematic formatting. See also what the percentage numbers in the intervals list mean and how interval methods are automatically calculated by Manifold based on the data in the drawing.
Manifold Future - Style Introduction
Take a tour through the new Style and formatting user interface in Manifold Future - This video provides a quick introduction to formatting objects with different colors, styles, and sizes, including fast and easy application of palettes, simultaneous formatting of different types of objects and different style characteristics, and much more. See how thousands of point symbols can be combined for an infinity of choices. Wow! ...and that's just the first step with many more formatting, symbology and editing capabilities to come in the weeks ahead! Everything in this video works for Manifold Viewer as well.
Manifold Future - Select and Transform Panes
Using points of interest for the greater London metropolitan area taken from OpenStreetMap we take a first look at the new Select and Transform control panels, now implemented as "always on" modeless panels instead of old-style modal dialogs. We see how rapidly and conveniently we can move back and forth between map windows, table windows and control panels to assemble exactly the selection we want, and then put that to work using the "always on" Transform panel to create buffers. We finish the video with a demo using the huge Australian Waterways set to show how Manifold speed continues to be astonishingly fast, with even interactive dialogs previewing and selecting vast numbers of objects in a fraction of a second.
Manifold Future - Five Minute Filters Quickstart
This video repeats the Filters topic from the Manifold Future user manual. Filters in Manifold Future and Future Viewer provide a fast and easy way to show only those records in a table we want to see. We can apply them very quickly with no keyboarding required. This five minute video shows how, using points of interest in Monaco to show how to combine filters on two different fields, and then we switch gears to show how two filters on the same field can be applied in seconds to get exactly the records we want. Easy, and best of all - no keyboarding!
Manifold Future - Shared Selections
Interactive selections in Manifold Future and Future Viewer provide a quick and easy way to zero in on data of interest. This video shows how windows share a selection so selecting records in a table will automatically select the corresponding objects in every drawing that shows that table. Likewise, making a selection in a drawing will automatically select the corresponding records in the table as well as in all other drawings and drawing layers that display that table.
Manifold Future - Five Minutes for Fast Map Selections
New mouse moves for visual selections in maps provide very rapid selection and deselection of features seen in maps, in drawings and in layers. This video shows how quick and easy the new selection moves can be done in real life, even if they seem puzzling when described with words in user documentation. Take five minutes to learn how these very powerful and convenient mouse moves are easy to do.
Manifold Future - Easy to Use Large OSM Data
It's easy to work with very large tables in Manifold Future or Future Viewer. Some people think that Manifold can only work with what is shown in a window or what is displayed in a few screens of a table, but that's not true: this video shows how Manifold can operate on all the data, all of the time. We start with OpenStreetMap (OSM) vector data imported using native OSM PBF format, showing all the roads and area objects in Boston. Manifold can combine different objects in a single layer so Manifold can correctly import PBF layers that combine different object types. The video shows how with a single click we can select out all lines or areas in a layer and then create a lines-only or areas-only drawing. We close the video with fast and easy formatting for a sharp, distinctive presentation. See also the PBF .pbf, OSM, O5M topic.
Manifold Future - Fast Edits in Any Size Table
Need to make corrections throughout an entire table? See how to use the Select panel to instantly choose records to fix and then a quick click on the Transform panel to edit them as desired. The video shows how edits apply to even huge tables, far larger than can be browsed interactively, and how we can filter huge tables for useful views into our data, including choosing whether we apply filters to the entire table or to subsets we prefer.
Manifold Future - A First Look at Layouts
A quick look at new printing facilities in Manifold Future. Create a layout and drag and drop drawings, images, maps and labels into the layout. Resize and move frames and dynamically pan and zoom within a frame. Future is fully parallel and so are layouts, so changing a layer elsewhere in a project that participates in a layout will dynamically change that frame in the layout. Print to PDF with spectacular fidelity and clarity, or print directly to printers.
Manifold Viewer Introduction
Manifold Viewer - An introduction to the new, free viewer from Manifold.net showing how to create a base map using the Bing street map web server. We import a shapefile, create buffers, do a triangulation and change formatting. We link in a library project containing dozens of ArcGIS REST web servers, and then we open a 36 GB image instantly.
Speed Demo - Open 110 GB of Images Instantly
Manifold Viewer can handle enormous amounts of data on a desktop. Viewer is completely free to download at www.manifold.net - This demonstration shows Viewer opening 110 GB of images together in the same map, showing several world cities in high resolution imagery. The demo uses layers from Bing and Google to show how Viewer can combine images from different sources to enhance comprehension.
Hunting Neolithic Relics
We use Manifold Viewer to import a database giving the locations of Neolithic monuments in France. We create a map showing their locations, and then we pull out only the neolithic dolmen constructions. We then find only the very best and largest dolmen and zoom in using satellite imagery to see where they are.
Speed Demo - Triangulate 300K Points in 8 Seconds
This video shows Manifold parallel technology power to do in eight seconds what takes non-parallel GIS many minutes or even hours. We use Manifold Viewer, the free read-only subset of Manifold, to do a triangulation of 300,000 points. We use Viewer so anyone can try this at home with a free Viewer download. The triangulation takes less than 8 seconds while the same triangulation in some other non-parallel GIS packages using the same data set takes 8 hours. Wow!
Select and Transform a Neolithic Relics Database
Continuing from the Hunting Neolithic Relics video we show how selection in Viewer and Manifold Release 9 can be used to transform the data. We see how Viewer can write parallel SQL for you automatically. We see a small dolmen and a big one at ground level, and we get views of the great fortress at Saumur in France.
Maryland LiDAR Sample Map
A quick video showing how to open and use the maryland_lidar.map sample map available on the Manifold Viewer downloads page. The map shows LiDAR data for Charles County, Maryland, loaded on the fly from a web server in Maryland. Using the LiDAR data, a synthetic surface is automatically created, hill shaded and colored on the fly by either Manifold Release 9 or Manifold Viewer. The video shows how to use the Bing and Google web server layers together with the LiDAR visualization.
Explore Archaeological Sites in France
We use a pre-built, pre-formatted, beginner-friendly project to discover almost all archaeological sites in France we can visit, from ancient Neolithic monuments dating back 6000 years to Roman amphitheaters and temples. A GIS expert prepared the project in Manifold Release 9 and published it as a Manifold format map so that anyone, virtually no skills required, can double-click that project open in Manifold Viewer. This video shows a beginner how to click open the project, click open the map and then navigate around, panning and zooming to see interesting sites. On your next visit to France bring Viewer and this freely downloadable project (download from the Manifold Viewer downloads page) with you to see all the memorable sites no ordinary tourist will ever see.
We use a pre-built, pre-formatted, beginner-friendly project to hunt meteorites worldwide, with tips for finding meteorites in the American Southwest. Using the meterorites.map that is a free download, we use the free Manifold Viewer to see the locations of all meteorites found on Earth and to hunt new meteorites. A great, user-friendly demo for Manifold Viewer users in the US!
Speed Demo - Triangulate 5 Million Points in 3 Minutes
Using a larger data set than the 300,000 point triangulation, this video shows how Manifold parallel technology accomplishes in three minutes what what takes non-parallel GIS over an hour or even over a day. We use Manifold Viewer, the free read-only subset of Manifold, to do a triangulation of 5 million points. We use Viewer so anyone can try this at home with a free Viewer download. What is really impressive is that Manifold is so fast that a preview of the triangulation happens in less than a second.
Speed Demo - Do in 1/10th Second what takes others 30 minutes
See Manifold technology in action in an epic and visually beautiful video: Viewer opens a project file in 1/10th second that the US Government providing the data warns will take ESRI software 30 minutes to open in the equivalent ESRI native format. That's thousands of times faster for Manifold technology. Viewer effortlessly hill shades and styles on the fly 7.5 GB of new, high resolution bathymetry data for the Gulf of Mexico. We also see how Viewer instantly re-projects on the fly over 7 gigabytes of data to match different data sets using different projections for instantaneous panning and zooming. Re-projection can take hours in other packages but Viewer and Manifold do it on the fly, instantly.
Street Address Geocoding using SQL
Using the free Manifold Viewer we do street address geocoding with a simple SQL query. Viewer is the read-only version of Manifold Release 9 but nonetheless retains massive analytic capabilities, including street address geocoding, the process of taking an ordinary street address and finding the spatial location so it can be plotted on a map. We street address geocode the locations of In N' Out burger restaurants using a snippet of Manifold spatial SQL. For advanced geocoding with Manifold and a really cool use of expressions, see the gisadvisor.com video on street address geocoding.
Create a Drawing from a Geocoded Table
A short video showing a common GIS task: take a table with a latitude and longitude value for each record and display that as a drawing of points. The procedure is identical in Viewer and in Manifold Release 9. We use the free Manifold Viewer product so anyone can download Viewer and try this at home.
Create a Geocoded Table from a Shapefile
Shapefiles often have geometry information for the points they contain but do not have in the attribute table any Latitude and Longitude fields. This video shows how to use Manifold to extract Latitude and Longitude values from geometry and to create separate Latitude and Longitude fields for each record in a table. The table can then be exported for use in other applications that cannot read shapefiles or which require explicit latitude and longitude fields. We use Viewer for the video so anyone can download the free Manifold Viewer product and try the example at home.
Meta Table Editing
A technical video showing how Manifold's "Everything is a Table" philosophy opens the door to powerful automation. We change hundreds of queries at once from being read-only to editable by editing the value of their properties in a meta data table, and then we change the coloring of many drawings at once by editing the values of their style properties in the metadata table.
Manifold technology and Manifold Viewer are perfect for database work. This video shows how to open and use the free books.map project that provides all tables and query listings for the example database used in Chris Fehily's first-rate book, "SQL: Visual Quickstart Guide." Viewer and the books.map project are free downloads from the http://www.manifold.net/viewer.shtml web site. You can use Viewer to run SQL to follow along in Chris's book without having to manually keyboard any of the examples. Cool!
Fetch Style via Remote Desktop
In this video we show a real life example of copying and pasting Style from meta properties to copy and paste the coloring from one Manifold project into another. We worked on an 820 MB project at home and then forgot to bring it to work. At work we opened the same data and wanted to style it the same way. What to do? Quicker than downloading 820 MB of data is simply using Remote Desktop (RDP) to connect to our computer at home, copy the style used and paste it into the project at work. Done! The video also shows how to use a text file with Notepad to save items for later re-use in Viewer, which is read-only. More convenient, of course, is using Manifold, but for a completely free solution with Viewer we can save the JSON strings that convey Style using Notepad.
ArcGIS REST servers
Learn how to use the example project file containing many web servers that automatically provide imagery and data in a wide variety of themes for almost anywhere in the world. We also see how we can launch multiple sessions of Manifold Viewer and copy and paste items between the two sessions.
Combine Many Areas into One Area
One of the most common spatial data engineering tasks is to combine many polygonal area objects into a single polygonal area object. This operation is often called a "union" or a "merge." In this video we use Manifold Viewer to combine many area objects into a single area object. Viewer is the read-only version of Manifold, so anyone can try this example at home by downloading the merge_and_clip_examples.map sample project. Viewer is read-only, so you'll need Manifold Release 9 to save the results for further processing. However, because Viewer includes all spatial capabilities of Manifold we can use Viewer for a demo that anyone can repeat for free.
Clip Roads to Fit a Region
A very common spatial data engineering tasks is to clip a road network to only those road lines which are located within a particular region, trimming road lines so they neatly end at the boundary of the region. In this video we use Manifold Viewer to clip a road network of many roads throughout Europe to only those roads that are located within France. Viewer is the read-only version of Manifold, so anyone can try this example at home by downloading the merge_and_clip_examples.map sample project. Viewer is read-only, so you'll need Manifold Release 9 to save the results for further processing. However, because Viewer includes all spatial capabilities of Manifold we can use Viewer for a demo that anyone can repeat for free.
Remove Roads from a Region
In this example we cookie-cut all roads in a network using the shape of a region, but instead of keeping the roads inside the region and discrding those outside, it removes roads within the region and keeps those outside. Using Viewer we select roads within the region using attributes in a fast and simple method. Viewer/ Manifold - Clip Roads to Fit a Region Viewer is read-only, so you'll need Manifold Release 9 to save the results for further processing. However, because Viewer includes all spatial capabilities of Manifold we can use Viewer for a demo that anyone can repeat for free.
Use Your Native Language
This video shows how to launch Manifold Viewer or Manifold Release 9 in German language, an example that shows how easy it is to use localization files that change the user interface to different languages. We also learn how to create our own translation with an example showing how to translate the Viewer interface into a different language. Download and use language files for French, German, Spanish, and Portuguese or create your own for other languages. Language files made for either Manifold or Viewer will work with either system.
View an ESRI ADF File Showing Yosemite
ESRI ADF format, also called ArcGrid format, is used to store many drawings, images and terrain elevation data sets. We import an ESRI ADF file that shows terrain elevation around Yosemite National Park in the US and then we color it and hill shade it for better comprehension. The exact same procedure works both in Manifold Release 9 and in Manifold Viewer, the free read-only edition of Manifold.
2017 Total Eclipse Map
This video shows how to use the free Manifold Viewer to see the path of the 21 August 2017 total eclipse of the Sun in the United States. Pre-configured to be easy to use by beginners, the 2017 Total Eclipse map is a free download from the Viewer download page. The map shows local times when totality starts, already converted for daylight savings time, and not confusing UTC or Greenwich Mean Time. Click on and off background layers like Bing Streets or Google Streets or Satellite view for planning. Viewers on the centerline saw a spectacular total eclipse.
Speed Demo - Parallel Clipping Speed
Parallel processing using all CPU cores speeds up jobs dramatically. In this video we see Manifold do a spatial clipping operation in 13 seconds on an old and inexpensive $95 AMD CPU that takes PostGIS and Microsoft SQL Server a minute and Spatialite almost four minutes. Those are good packages but they cannot run as fast as fully parallel Manifold operation.
Fix Many Projections at Once
Importing many files at once from formats which do not specify projection (coordinate system) used, we may need to repair many files at once. Because Manifold exposes all characteristics in tables that is easy to do using simple, point-and-click dialogs.
New, Easy Initial Coordinate System Setting
Future Viewer is a free download on the Viewer downloads page that tracks Manifold Future evolution. The video shows a feature of breakthrough usefulness in Manifold Future and Future Viewer, automatic detection and warning when we should manually assign an initial coordinate system when data is imported from formats and sources that do not specify coordinate system information. That takes just one click using the new Contents pane.
Uber Movement Data
Uber's new Uber Movement initiative at movement.uber.com provides free trip time data gathered from millions of Uber vehicle movements that can provide critical insights for cities and researchers into traffic patterns, congestion and travel times. This video shows how to download that data and convert it into GIS spatial form from the CSV files provided by Uber. A spectacular, fast use of a snippet of SQL converts the Uber format into Geometry form that Manifold Viewer, Manifold or Manifold Future can consume and analyze.
Speed Demo with Big Vectors - Australian Lakes and Rivers
A wildly popular set of printed maps and posters emerged a year or so ago from Reddit that showed every lake, river and stream in Australia in incredible detail. The author of that project said his biggest problem was that the GIS he used kept crashing all the time and was so terribly slow at displaying and working with the data. This video shows exactly that same data set in Manifold Viewer, demonstrating the incredible speed of Manifold technology at displaying millions of complex vector objects.
Speed Demo with Big Vectors in PostgreSQL - Australian Rivers
Following on to the speed demo showing native Manifold speed with over 1.3 million complex vector objects, this demo shows exactly the same data set stored in PostgreSQL and visualized with Manifold. PostgreSQL is a fast and reliable DBMS so when used for back end storage for a super-fast client like Manifold or Viewer the resulting performance is both reliable and fast. It is not as fast as native, parallel Manifold storage but it is plenty fast enough for many applications while delivering the many interoperability benefits of storage within a standardized DBMS. Manifold is agnostic about data sources so it is happy to apply parallel client speed to PostgreSQL, Oracle, SQL Server, GPKG or any other source. We use the free Viewer package for the demo.
Click on thumbnail images to see a larger image. Some browsers may reduce the image to fit your browser window - click into that new window again to expand the image to full resolution.
Image at right: click on the thumbnail for a large image of a Manifold map showing the Mount St. Helens volcano crater in a one meter resolution Digital Elevation Model in ESRI grid format, colored by Manifold and shown against a web server background of Google terrain and overlaid with labels taken from Google transparent street web server.
Eleven Views of Crater Lake
A collection of images showing how Curvature convolution matrix filters can emphasize features in terrain. We use the same data and techniques illustrated in the Speed Demo with 1280 GPU Cores video. The much larger images here (be patient as the load!) spread across three monitors show detail that the video cannot show. The Crater Lake terrain elevation data set was created from detailed LiDAR scans of the Crater Lake region, plus bathmetry acquired by high resolution sonar below the surface of Crater Lake. Gaps between the terrain surface and bathymetry have been filled with green color. The underwater regions of the original terrain data have numerous vertical and horizontal artifacts due to the scanning technology used to obtain depths in the lake.
We start with overviews that show the original DEM, and then blends using a 3x3 matrix Curvature, Mean transform and a 5x5 matrix Curvature, Profile transform. The first five images are followed by zoomed in views and then detailed views. Click on a thumbnail to see the full image. Click again in your browser to zoom into the full image full size, and then pan around in the image using scroll bars. Open the thumbnails in a new browser tab or window to compare images.
The original DEM surface, hill shaded in false color. The results of a Radius 1, 3x3 matrix filter,Curvature, Mean computation on the original DEM. The original DEM enhanced by blending with the Curvature, Mean computation. Mean curvature emphasizes greater curvature in any direction. The results of a Radius 2, 5x5 matrix filter, Curvature, Profile computation on the original DEM. The original DEM enhanced by blending with the Curvature, Profile computation. Profile curvature emphasizes greater curvature perpendicular to slopes, so it accentuates terraces and rims that cross slopes. Note the more accentuated terraces in the lava flows from Wizard Island and to the left of the rim. A zoomed in view of the original DEM surface. A zoomed in view of the original DEM surface blended with the mean curvature computation. A zoomed in view of the original DEM surface blended with the profile curvature computation. Detail: the original DEM surface. Detail: the original DEM surface blended with the mean curvature computation. Detail: the original DEM surface blended with the profile curvature computation. A close up view shows how changes in curvature perpendicular to the downslope of the crater rim are enhanced.
The Craters of Pluto
These are really big images that can take some time to load. Please be patient. Manifold Release 9 has immensely sophisticated terrain elevation processing capabilities, including the use of massively parallel GPGPU computation to speed up large calculations. The images show terrain elevation data for Pluto at 300 meter per pixel resolution, from the New Horizons mission. Using the technique illustrated in the Speed Demo with 1280 GPU Cores video, a hillshaded synthetic, false color terrain view was combined with two lower layers, one of which is a 7x7 convolution matrix Median filter to reduce terrain noise, while the other layer is a 5x5 convolution matrix Profile Curvature filter that brings out edge transitions in crater rims. The topmost image shows the combined image, while the lower image shows the combined effects of the Median and Profile Curvature filters. These are big images, originally spread across three monitors. To view them in full resolution, click the image after it loads and then use the scroll bars in your browser to scroll left and right, and up and down.
At right are two more images. The upper is a combined terrain elevation plus enhancements from the Median and Profile Curvature computations, but colored in more-or-less natural, true, color. The lower image is another false color display that shows terrain elevation combined with a simpler filter, a 5x5 convolution matrix Profile Curvature filter, with no noise reduction from Median processing. Wow! Just imagine... Pluto was once no more than a tiny fuzzy dot in the largest telescopes!
Color Infrared (CIR) Imagery from Four Band NAIP Images
Use the free Manifold viewer to create spectacular color Infrared (CIR) displays from freely downloadable, four-band, 60 cm resolution, National Agricultural Imagery Program (NAIP) images. The example shows suburbs of Redding, California, with channels and display bands rearranged to show the near-Infrared channel as the Red output for a classic CIR display. Viewer and Manifold Release 9 instantly remap bands even of 450 MB images like these. The river at the bottom of the view is the Sacramento river.
Merged SRTM Terrain Elevation Tiles
SRTM terrain elevation data acquired by space shuttle missions covers many parts of the world in great detail. Unfortunately, SRTM data is published by USGS as tiles a few megabytes in size covering relatively small areas. Manifold's Merge Images capability, as illustrated in the Example: Merge Images topic, lets us merge dozens or hundreds of tiles to create a single, seamless terrain elevation raster image.
The first thumbnail above shows a Manifold map that spreads over three monitors, showing the Italian alps overlaid with a Google transparent streets layer to provide context. Missing pixels where SRTM data has gaps in the coverage are drawn as transparent pixels, allowing a background Google satellite image layer to show through.
The much larger thumbnail shows a very large Manifold map covering more of the Alps, as we might see if we were using a display with several ultra-high resolution, large monitors. To keep image downloads smaller, a JPEG with some compression has been used: the actual Manifold screen is sharper.
National Map Elevation from a WMS Server
These are really big images that can take some time to load. Please be patient. Manifold Release 9 can automatically fetch terrain elevation data from a WMS server and then Style that data with a fully custom look. The illustrations show a map with a terrain elevation layer from the National Map that Release 9 has fetched from US Government servers, together with layers providing the locations of cities, state boundaries, and with labels layers providing state names and city names. The two big images show the incredible detail of the elevation data, allowing a view of the Appalachian mountain ridges in Pennsylvania like you've never seen them before. These are big images, originally spread across three monitors. To view them in full resolution, click the image after it loads and then use the scroll bars in your browser to scroll left and right, and up and down.
The smaller image shows the region surrounding Massachusetts. It includes a background layer that uses Bing. In all three examples, the terrain elevation data streamed in from the WMS server has been thematically formatted and hillshaded on the fly. The data value used for the ocean has been rendered in transparent color, so any layers below (like Bing in the smaller image example) will show through.
LiDAR Relief / Google Hybrid
Contributed by forum user dchall8, the shaded relief image was created in Manifold Release 9 using 1 meter LiDAR terrain elevation DEMS obtained in a 2015 flyover. The Merge Images dialog was used to combine 256 separate LiDAR data sets into a single, seamless LiDAR DEM in only 30 seconds. The seamless LiDAR DEM could then be styled, hill shaded, and combined using transparency with a Google satellite layer.
"The results, especially with hill shading, are spectacular. Otherwise flat looking Google Earth imagery comes alive. See attached pics. I am seeing features I never noticed because now they are geographically set off from the flatness. I can use the telephone poles in Google Earth images like a sundial to tune up the azimuth and altitude of the shading to match Google's shadows. This is really cool." - Forum post with the above images.
Switzerland and the Alps in Antique Style
This antique Swiss style of cartography utilizes Imhof effects, where a layer of sfumato haze at lower altitudes reduces detail so that higher altitude relief becomes more prominent. The map uses partially transparent layers with a base of satellite photographic imagery, palette-colored and hill-shaded GTOPO30 terrain elevation data, multiple sfumato haze layers using a mix of interpolated transparency and colors, and then a variety of area border layers, vector "knock-out" layers to emphasize Switzerland, and labels. Country borders and names are taken from the US Department of State GIS data web site. Download a similar scene as a PDF that was "printed" using the FreePDF driver from a Manifold layout.
Contours for the Entire World
Manifold Release 9 takes just a few seconds to create vector contours from huge raster files, like these examples showing contours for Space Shuttle SRTM elevation data for the entire world. 9 can create contours as area objects at given interval ranges or as contour line objects. The close up shows the lowest elevation on Earth, a trench in the Pacific ocean. The larger view shows the entire Earth with the contour area for the continental shelf colored in a light blue color. The map windows are huge, extending over three monitors, yet Manifold pans and zooms them and redisplays instantly.
Contours for Mount Saint Helens
Release 9 automatically handles variations in raster data, such as extensive use of invisible pixels or NULLs in the data. The illustration shows contour areas thematically colored that were created from a terrain elevation data set of the cataclysmic results of the Mount St. Helens eruption. The contour areas are overlaid on a Google terrain map served from a web server, and overlaid on top of the contours is a transparent street layer, also from a Google server. Manifold makes it easy to create such stunning compositions in just a few minutes.
WMTS Server Combined with ImageServer
The image shows a map created from an experimental ESRI WMTS server providing world topographic data hillshaded from multiple angles, overlaid with a Google image server layer providing streets and labels with transparency between to allow the topographic WMTS layer to shine through. Manifold can re-project on the fly faster than web servers can serve tiles, to enable effortless use of data from different sources that use different web serving techologies together in the same map, even if coordinate systems require re-projection on the fly. The large images show the scene expanded over three monitors. Manifold is so fast that it is effortless to work with such immense seas of pixels even as layers are being re-projected on the fly.
OSM Buildings on Two Different Backgrounds
The images show an extraction from OpenStreetMap buildings for Monaco, overlaid on a Bing Streets layer and also on a Canvas Dark theme ESRI ArcGIS REST web server. Changing to a different background map creates a completely different feel to exactly the same data. Manifold has colored the building polygons on the fly using the Color Brewer Spectral palette for a more visually interesting display.
LiDAR Data as a Shaded Surface
The image shows a LiDAR scan of the Pentagon in the US. 8 million points of LiDAR data was imported into Manifold using the built-in LAS/LAZ importer and then Manifold's Kriging interpolation template was used to create a surface. The Style panel applied a range of colors and shading to the resultant surface. Everything is automatically georegistered so the LiDAR data appears in correct georegistration over a background layer provided by Bing Streets.
Uber Movement Drive Times in Boston
The image shows a map created from Uber Movement data downloaded as a .csv file. Manifold on the fly transforms text coordinates in the .csv into geometry for display. The polygons show drive time from downtown Boston colored by the time required. The Latitude / Longitude Uber data is re-projected on the fly by Manifold to match the Pseudo-Mercator coordinate system used by the Google background layer and the Google Transparent Streets layer used as the uppermost layer in the map. See the Uber Movement YouTube Video that shows the process.
GPKG File Database - All Real Estate Parcels in New Zealand
GPKG is an open source spatial format that utilizes SQLite / Spatialite files to store spatial data, either rasters or vectors. Land Information New Zealand (LINZ), a government organization, publishes numerous free data sets for New Zealand in GPKG format as well as other formats. This image shows real estate parcels in a section of Auckland, New Zealand, a small part of the nearly 1.4 GB vector data set in GPKG format that shows all real estate parcels in New Zealand. The information box open at left shows attribute data for the parcel nearby that was alt-clicked. Every parcel in the view and in all of New Zealand contains such info. Manifold has colored the parcels on the fly and has re-projected the parcels layer from the New Zeland local coordinate system into the same Pseudo Mercator projection used by the Google background layer in the map.
The image at left shows the example vector drawing from the geopackage.org samples collection that shows a vector drawing of vegetation counts in Washington, DC. It is colored on the fly by Manifold and displayed together with a Google Satellite layer for background, being re-projected on the fly into the same pseudo-Mercator coordinate system used by Google.
Manifold products using Manifold technology can read virtually any image format known, including image formats used in graphics arts as well as for GIS or stpatial data.
Manifold can read hundreds of different formats and subformats, automatically applying transparency and multiple channel image data. Click on the thumbnailto see the sample image on a Manifold Future desktop with background white layer on and off to show transparency.
Web Servers using ArcGIS REST Servers
ESRI World Street Map illustrated, with tiles automatically downloaded into the Manifold layer.
Web Servers using OpenGIS Web Map Tile Service (WMTS) servers.
The illustration shows a connection to the ESRI World Imagery Service using WMTS, with an OpenStreetMap layer drawn over the map. ESRI allows use of the World Imagery Service to create vector data for contribution to OSM by tracing over their imagery and using it to guide edits. Cool!
Bing Maps showing satellite imagery.
The image shows a Bing satellite layer used as a background for a map layer showing streets in Palo Alto and Menlo Park taken from an SDTS file. The white horizontal line in the middle left of the display is the Stanford Linear Accelerator.
Bing Maps showing streets and features. See worldwide streets automatically pulled down as a layer from Bing servers.
Google Maps Satellite Imagery
Click on the image at right to open up a full size view of a typical Google satellite high resolution display seen when zooming in to the famous chateau at Chambord, in the valley of the Loire in France.
The other thumbnails show the same view as the street map scene of Munich shown below by the Google street map image server plus a zoomed in view. The satellite imagery and street map imagery layers in a map automatically align with each other and with other imageserver layers.
Google Maps Street Map
Displayed for the entire world from your Manifold console, Google Maps showsstreets and features, automatically pulling down tiles.
Google Maps Streets (Transparent)
Google Maps showing streets with transparency between, to allow lower layers to show through. A transparent Google street maps layer appears in the accompanying image, showing USGS LULC 100K data imported from CTG raster format for the San Franciso Bay region, colored on the fly by Manifold and overlaid in a map on a Google Satellite layer for context, with a Google transparent streets layer above for labels.
Google Maps Terrain
The images show a Google Maps Terrain layer as a background to the synthetic, hill shaded terrain created by Manifold from an SDTS DEM.
OpenStreet Maps OpenCycleMap Transport
OpenStreet Maps OpenCycleMap with public transportation added, automatically produced as a layer by Manifold with no user formatting required.
ESRI File Geodatabase
ESRI File Geodatabases using ESRI GDB files for storage. See the User Video on using ESRI file geodatabases. The images show ESRI's "Naperville" tutorial example GDB data set with tax parcels layer and pipes layer (in green), overlaid on a Bing streetmap web server layer for context. The larger image is zoomed in to show detail on parcels, which have been colored on the fly by Manifold to better distinguish different classes of tax parcels. The larger image spreads across multiple monitors. All data resides within the ESRI geodatabase.
Hill shaded terrain with Web Server Contrast Adjustment
Two images of the Lake Wales Ridge region of Florida using terrain elevation raster data. Manifold creates hill shaded terrain and colors it using a specified palette, maintaining perfect georegistration. One view shows the hill shaded data overlaid on Bing web server satellite photography. The other screenshot shows the Manifold-generated view overlaid on Google web-served terrain, with Google web-served transparent streets and street labels as the uppermost layer. Manifold has been used to adjust contrast on the fly in the Google transparent streets layer, to provide better contrast and readability against the colored hill shaded terrain. The upper layer is shown using 90% opacity as well for a better blending effect. Manifold Release 9 not only uses an incredible range of web servers, but in addition has the unique capability to transform web-served layers on the fly to change display characteristics such as contrast and color channels. Super!>
Hill Shaded Terrain using a Custom Palette
A full resolution image that fits on a single monitor, showing how different, contrasting colors used in adjacent terrain elevation intervals can bring out detail that would be difficult to see without a custom palette and hill shading. The ethereal visual effects are also super.
S57 ENC (Electronic Navigation Chart) vector format.
S57 charts are used worldwide for ship navigation. The display shows a tiny fraction of the infromation in a typical chart, formatted as lines on a black background. Endless variations in appearance are possible with Manifold.
Sythetic terrain formed from ESRI ADF format data
ESRI .adf format, also sometimes called ArcGrid format. ADF files can contain either raster or vector data.
The first thumbnail expands to a view of the Yosemite National Park region, a terrain elevation data set colored on the fly by Manifold with a quantized palette showing elevations.
The second thumbnail shows a zoomed-in view to the Yosemite Valley and Yosemite Village area famous to millions of tourists and uses a smooth interpolation palette to show terrain elevations. Larger thumbnails expand to multi-monitor sized images using either a more natural palette or a false color palette to show elevations.
Land Use in India from ESRI ADF format data
Thumbnails show raster data imported from a ESRI .adf format file. The thumbnail showing an overall scene shows the GLC2000 land use data set for India, a raster data set color-coded by land use type. It imports with perfect georegistration as seen in the overall image, which uses an NOAA world shaded relief WMS layer for background and a Google transparent streets layer on top for context. The detailed image thumbnail expands to show use of ESRI ArcGIS REST server layers, with a hill shading layer at 50% opacity blended with the land use data to provide relief and a boundaries and place name layer above for context. The GLC2000 data set shows land use at 1 km per pixel resolution on the Equator. Manifold is automatically re-projecting the Latitude / Longitude GLC2000 layer on the fly into Pseudo-Mercator projection as used by the map and the web server layers.
Vegetation classification from a BIL file
ESRI Band Interleaved by Line (BIL) format. The image shows a BIL file that codes different types of Alaskan vegetation zones as raster color values, using a false color palette colored on the fly by Manifold and displayed in a map with a Bing layer for background and context.
District of Columbia from Census Bureau BWx data
BWx is a legacy US Census Bureau TIGER file format. The image shows 1995 Census data for the District of Columbia, colored on the fly with the Style dialog.
Raster land use and land cover data overlaid with web server layers
USGS LULC (Land Use Land Cover) data in CTG (Composite Theme Grid) raster format, also known as Grid Cell files. The illustration shows USGS LULC 100K data imported from CTG raster format for the San Franciso Bay region, colored on the fly by Manifold and overlaid in a map on a Google Satellite layer for context, with a Google transparent streets layer above for labels.
Simple presentation of USGS roads data from SDTS files
US government SDTS (Spatial Data Transfer Standard) files ending in DDF extension. SDTS format stores rasters (terrain elevation data such as DEM, or images) and vectors (such as data sets converted from USGS DLG). The upper image shows the Palo Alto roads data set from the USGS 1:24K series, with road lines extracted, colored on the fly in orange-yellow and shown overlaid in a map on a Bing satellite layer. The Stanford Linear Accelerator is the white horizontal line a middle left.
The lower images show terrain elevation data from USGS published in SDTS raster format, with a Google terrain background and Google streets overlaid. The terrain has been colored and hill shaded on the fly by Manifold, using a more natural palette for one image and a false color palette for greater contrast in the other image.
Raster images from Log ASCII Standard raster data
DDR files as used with Log ASCII Standard (LAS) format used for well logging data. This is a legacy format different from the LAS format used for LiDAR data.
Images show DDR LAS data providing Channel 1 of a five-band AVHRR instrument flown on an earth observation satellite, overlaid on a base map with transparent labels above for reference. Manifold automatically re-projects layers in a map to conform to the map.
Terrain Elevation for the Entire World
The USGS GTOPO30 project created a worldwide terrain elevation data set at approximately 1 km resolution. Manifold Release 9 can display the complete GTOPO30 data set for the entire world at once, panning and zooming instantly. Thumbnails above show a three-monitor wide display zoomed in to show terrain elevation from Spain to the Caspian Sea, with one image showing use of Google transparent labels and the other without Google labels. The terrain has been colored using Style in discrete intervalus and hill shading has been applied. Click on the thumbnail for a full size image (be patient - these are big images) and then click again in the image that opens to zoom in to full resolution, using scroll bars in the browser to view the image if you do not have three monitors.
Drawing created from Intergraph DGN format, a CAD-oriented format
A vast amount of the world's data is in CAD formats that require massaging for use in spatial settings. Manifold has all the tools required to exploit that data.
Photographic rendering from Adobe DNG file format
DNG is an Adobe variation of TIFF used in digital photography. The images show a market in Salzburg, Austria, including a zoomed in view at native resolution, one image pixel per screen pixel. (Yes, the photographer did snap the photo off horizontal.)
Manifold's ability to handle vast file sizes makes Manifold projects a great way to store large images that may be hundreds of gigabytes in size.
Geologic map of Arizona from ESRI E00 Data
The image shows a geologic map of Arizona, overlaid on a background map generated by a web server. Manifold has colored the different geologic areas on the fly and has automatically re-projected the Lambert Conformal Conic projection used by the .e00 into the Pseudo Mercator web projection used by the background Bing web server.
1.3 Billion Pixel image of Ithaca, New York from ECW Data
The screenshot shows a 1.32 billion pixel image of Cornell University in Ithaca, Nw York, imported from an ECW file and overlaid in a map on a Google streets layer with an upper layer of labels marking points of interest in the ECW image. The 1.32 billion pixel image is in Transverse Mercator projection and is being re-projected on the fly into the Pseudo-Mercator projection used by Google and the map. Manifold re-projects the image so fast for display that pans and zooms in the map remain instantaneous with zero delay.
Vector land use and land cover data overlaid with web server layers
A collection of screenshots showing USGS LULC (Land Use Land Cover) data in GIRAS (Geographic Information Retrieval and Analysis System) vector format.
The illustrations show USGS LULC 100K data imported from GIRAS vector format for the San Franciso Bay region, colored on the fly by Manifold and overlaid in a map on a Bing streets layer for context. Other images show the vector data set with water areas removed, overlaid on Google satellite imagery, plus close up with transparent street layers.
Seamless mosaic of Niagara Falls / Horseshoe Falls
The image shows a view of the Horseshoe Falls at Niagara Falls on the border between Canada and the United States. Spread over multiple monitors, the image is a Manifold map that displays images from six, separate, linked JPEG 2000 images seamlessly joined (an edge line runs down the middle of the falls and is completely invisible due to the perfection of the join). The display shows a small part of an immense image that Manifold technology can pan and zoom instantaneously.
Discovering structures beneath a tree canopy using LiDAR
The images show the discovery of a cabin hidden under the trees by using LiDAR data to hunt for returns from objects below the tree canopy.
"THIS IS SO COOL. [...] With Manifold Release 9 I will finally be able do what I need to do with the LiDAR data I have been sitting on for 2 years. See attached pix." - Forum post with the above images.
Parcels in Riddells Creek, Australia
A map created from data in MapInfo mid/mif format, an interchange format for vectors. The illustration shows parcels in Riddells Creek, Australia.
Aerial image of Exeter, England, overlaid on a Google layer
Using data published in LizardTech MrSID raster format, the image shows a UK Ordnance Survey sample image showing Exeter, England, in a map that uses a Google Streets image server background layer with a layer of transparent streets and labels above the image imported from MrSID format. Manifold re-projects on the fly the image brought in from MrSid from the original British National Grid projection to the Pseudo-Mercator projection used by the map and by Google layers. Note the perfect alignment between the image and Google layers.
OpenStreetMap Native Data for Boston
Manifold directly imports OpenStreetMap (OSM) native Protocol Binary Format (PBF) for total, native access to every detail of OSM data using OSM's recommended format. The illustrations show OSM data for Boston, including line and area layers extracted with Manifold, a process that takes two clicks and a few seconds given direct import of native OSM data using the PBF dataport. The brighter image shows new styling that allows intricate overpasses and underpasses with lines. The darker image shows a typical desktop and project. Manifold also reads OpenStreetMap OSM and O5M formats. See also the PBF .pbf, OSM, O5M topic.
Parcels in Riddells Creek, Australia, using TAB format data
Manifold can consume and style data from many formats. MapInfo table format consists of multiple files, usually five files, referenced by a controlling .tab file and can contain vector, raster or tabular data. Manifold automatically adapts to the type of data the file contains. The first illustration shows parcels in Riddells Creek, Australia, imported from a vector TAB file and styled by Manifold using a very appealing Color Brewer palette.
The larger image shows a raster image imported from TAB storage that is a scan of a paper map. The screenshot shows a Manifold image that spans three monitors.
DigitalGlobe Imagery of Madrid Airport Suburb
Manifold reads virtually all known variations of TIF/TIFF and will extract projection information from GeoTIFF or older TIF files accompanied by TFW "world" files. Manifold automatically writes projection information when exporting to TIFF to create GeoTIFF files. The attached images show the DigitalGlobe GeoTIFF sample image for a suburb near Madrid airport in 30cm resolution. Images are seen in a map with a Google layer below and a transparent Google Streets layer above to provide context and to illustrate the perfect georegistration Manifold attains. Seen at less than full resolution spread over multiple monitors this view is a fraction of the full 1 GB+ image that pans and zooms instantly in Manifold, even while being re-projected on the fly into Google Pseudo-Mercator projection.
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