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Videos and Screen Shots
This page provides videos and screen shots for Radian Studio, Manifold Future and Manifold Viewer, all based on Radian parallel technology. 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 GIS, provides so many rich capabilities it needs a separate Gallery page.
Viewer is Free
Manifold Viewer is a read-only subset of Radian Studio.
Viewer provides phenomenal capability to view and to analyze almost all possible different types of data.
Manifold Viewer is built on the Radian engine so Viewer retains Radian parallel CPU speed and Radian parallel SQL.
Manifold publishes many videos on the Manifold Sales YouTube channel. Clicking on a thumbnail launch the video in YouTube.
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 Radian Studio into the next Manifold GIS edition. Almost all Radian 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 Radian Studio, download and use the Future version to get access to all these powerful new features.
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 Radian 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 Radian, 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 Radian Studio 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 Radian Studio 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 Radian Studio and published it as a Radian 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 Radian 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 Radian, 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 Radian 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 Radian 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 Radian 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 Radian 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 Radian Studio 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 Radian spatial SQL. For advanced geocoding with Radian 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 Radian Studio. 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 Radian 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 Radian'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.
Radian 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 Radian 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 Radian, 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 Radian, 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 Radian Studio to save the results for further processing. However, because Viewer includes all spatial capabilities of Radian 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 Radian, 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 Radian Studio to save the results for further processing. However, because Viewer includes all spatial capabilities of Radian 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/ Radian - Clip Roads to Fit a Region Viewer is read-only, so you'll need Radian Studio to save the results for further processing. However, because Viewer includes all spatial capabilities of Radian 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 Radian Studio 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 Radian 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 Radian Studio and in Manifold Viewer, the free read-only edition of Radian.
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 Radian 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 Radian 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, Radian 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 Radian 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 Radian speed with over 1.3 million complex vector objects, this demo shows exactly the same data set stored in PostgreSQL and visualized with Radian. PostgreSQL is a fast and reliable DBMS so when used for back end storage for a super-fast client like Radian or Viewer the resulting performance is both reliable and fast. It is not as fast as native, parallel Radian 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 Radian map showing the Mount St. Helens volcano crater in a one meter resolution Digital Elevation Model in ESRI grid format, colored by Radian and shown against a web server background of Google terrain and overlaid with labels taken from Google transparent street web server.
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.
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 Radian 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.
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 Radian 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 Radian from an SDTS DEM.
OpenStreet Maps OpenCycleMap Transport
OpenStreet Maps OpenCycleMap with public transportation added, automatically produced as a layer by Radian 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 Radian to better distinguish different classes of tax parcels. The larger image spreads across multiple monitors. All data resides within the ESRI geodatabase.
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 Radian.
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 Radian 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.
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 Radian 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 Radian 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 Radian, 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. Radian automatically re-projects layers in a map to conform to the map.
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. Radian 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.)
Radian's ability to handle vast file sizes makes Radian 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. Radian 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. Radian 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 Radian 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 Radian 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 Radian Studio 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. Radian 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.
Parcels in Riddells Creek, Australia, using TAB format data
Radian 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. Radian 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 Radian 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 Radian image that spans three monitors.
DigitalGlobe Imagery of Madrid Airport Suburb
Radian 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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