The GenGIS Manual
A recent version of the manual is also available in Media:.PDF format.
Introduction / Overview of GenGIS
Geography has always been an important component of evolutionary and ecological theory. But the advent of sequence typing approaches such as 16S ribotyping, DNA barcoding using the COX1 gene, and multi-locus sequence typing, gives us the opportunity to understand how communities of organisms interact, move around and evolve. This sequencing revolution is tightly coupled to the development of new algorithms for assessing and comparing populations based on their genes.
Coupled with these developments is the ready availability of high quality, public domain digital map data. By integrating molecular data with cartography and habitat parameters, we can visualize the geographic and ecological factors that influence community composition and function.
GenGIS is designed to bring these components together into a single software package that satisfies the following criteria:
Free and open source. GenGIS is released under a *** license, and we have made extensive use of other free packages such as wxWidgets, R, and Python. Making GenGIS freely available allows it to be downloaded and used anywhere in the world, and allows users to inspect and modify the source code.
User-friendly. Although GenGIS is built to deal with challenging scientific questions, our goal is to make the software as easy to use as possible. This is particularly important as many users will have little experience with digital map data, apart from applications such as Google Earth.
Adaptible and extensible. The principal strength of many open-source projects lies in the ability of a loosely organized community of users to develop and enhance the software: R and BioPerl are two examples of successful open-source projects with many contributors. Since the potential applications of GenGIS are much broader than those we have in mind, we aim to make it as easy as possible to extend its capabilities by exposing the internal data structures and offering a plugin architecture.
Platforms and System Requirements
GenGIS has been developed and tested on the following operating systems:
- Win32 (XP and Vista)
- Mac OSX 'Leopard'
Support for Linux is not a development priority at the moment, although it should in principle be difficult to port GenGIS to Linux, and we will happily support any efforts to develop such a version. Similarly, if you experience problems (or successes!) in trying to run GenGIS on an operating system not listed above.
GenGIS can have fairly demanding memory requirements, depending on the size of map that is loaded. ***General guidelines. Please note that we have not tested GenGIS on Windows with anything less than a Pentium 4-class CPU (Centrino, ***), nor on a Mac with anything older than a 2008-vintage iMac.
The best citation for GenGIS will always be indicated in boldface on the [Main GenGIS page].
Where to go for help
The latest version of the GenGIS manual will always be available [here].
We maintain a [FAQ] for GenGIS as well.
- Discussion forum
- Email help
Getting the Release Version
If all you want to do is load in your data and start analyzing and visualizing them, your best bet is the latest Release version which is available [here].
Adding the Python Console
Developer Version – building from source code
To build from source code, we currently use Microsoft Visual C++ Express ***version on Win32 platforms, and ***compiler on Mac.
Building on Windows
Building on Mac
Currently there are four types of files that can be imported directly by the GenGIS application (i.e., not via the Python console or Rpy):
- The digital map file
- The location file
- The sequence file
- The phylogenetic tree file
Details of the requirements for these files are contained later in this section.
We currently require that you load the map file first, followed by the location file, after which any properly formatted set of 1 or more sequence and/or tree files can be loaded. To be considered in a visual or statistical analysis, every sequence in a sequence file, and every leaf in a phylogenetic tree, must be associated with one of the locations in the Location file.
Thanks to GDAL, GenGIS can import a wide array of digital map file formats and projections. We cannot provide direct support for GDAL, but there is a considerable amount of support available at the project website, and we have found the script 'gdal_merge.py' and the executables 'gdalwarp.exe' and 'gdal_translate.exe' to be very useful in preparing maps that can be handled by GenGIS.
GenGIS should be able to support any of the formats listed on this page due to the use of GDAL as our data reader, but many of these remain untested. We have had success with the following widely used formats:
- Arc/Info ASCIIGRID
- USGS DEM (and variations thereof)
If you wish to use a specific projection, you must specify it before loading your map - GenGIS is unable to do reprojections on the fly. This is particularly true if you are loading the default world map (from GTOPO30) that ships with GenGIS: the default Mercator projection stretches the polar regions to an absurd degree, whereas Plate Carre or Robinson will provide a much less distorted world view.
GenGIS currently does not support projections in which a single point is displayed in multiple locations. The best example of this is the default world map, which is actually 'fudged' to stretch only from 89.9 degrees North to 89.9 degrees South latitude. Since the poles stretch across the entire upper and lower edges of a map in a projection such as Plate Carre, GenGIS is unable to display these properly.
To specify the projection before loading your map, right click "New Study : Study" in the Layers tab, and select Properties. Selecting the Projection tab will allow you to choose your projection.
IMAGE SS1-MapProj.jpg (to upload)
Data sources and GDAL
Typical limits on map size
What sort of ***limits have people observed? My laptop seems to bomb when opening files of more than a few MB.
If the resolution of your map is too high to load efficiently into GenGIS, you can use one of the GDAL executables (gdalwarp or gdal_translate) to reduce the density of points in your map. This will of course decrease the level of detail you can see in the application, but is an acceptable tradeoff in many cases.