We provide services for open source geospatial software. We prefer solutions with a focus on user friendliness and intuitive interfaces. We can provide application support, training, customisation and (where applicable) hosting for the software you see listed below.
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 Quantum GIS (QGIS) is an open source Geographical Information System, providing a user-friendly graphical user interface for visualisation and analysis of spatial data. We provide customisation and development services for QGIS, either in the form of plugins or, where appropriate, as enhancements to the core application. With over four years of development experience and participation in the QGIS development team, we are in an ideal position to adapt QGIS to meet your needs.
Using the QGIS libraries (qgis_core and qgis_gui) we are also able to create vertical market applications with spatial data browsing capabilities. For example, you may need a database front-end application developed that includes a mapping component. With Qt and QGIS we are able to implement this for you in a cost effective manner. Since we are an open source solution provider, our GIS solutions rely on a solid foundation of open source software and reduce the financial burden on you to the payment of time and expenses. You can distribute unlimited copies of your software with no per-seat licensing fees.
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 openModeller is a cross platform, open source library for modelling distribution of species in relation to their environment. openModeller Desktop is a user friendly graphical user interface for the openModeller library. openModeller library implements a number of different algorithms for carrying out the distribution modelling analysis. These include BIOCLIM, GARP, Support Vector Machines and a number of others. The application allows you to define collections of environmental raster layers (e.g. precipitation, temperature, solar radiation etc.) into layersets. Locality data also need to be supplied, consisting of an identifier (e.g. museum accession code), taxon name, position (lon,lat) and an indicator of presence or absence. The application then generates a model based of the environmental values in the environment layerset, looked up at occurrence point. The exact way that the model is generated is specific to each algorithm. The simplest algorithm (Envelope Score) simply builds a set to rules based on the minimum and maximum value in each environmental layer across all the sites where the taxon has been recorded. Other algorithms employ techniques such as machine learning to build a more sophisticated set of rules that exclude statistical outliers. Once a model has been generated, it can be 'projected' into an environmental layerset - either the same layerset used to build the model, or a symantically equivalent layerset for a different geographical region and / or time period. In this way a model can, for example, be generated for an Australian species using Australian regional data and then projected into a layerset for Africa in order to identify potential invasion risk areas should the species ever be introduced there. The core modelling facilities are provided by the openModeller library, developed by CRIA, Brazil. The user interface, openModeller Desktop, uses this library and in addition provides an environment where models can be prepared, run and visualised. openModeller Desktop development was partly funded by FAPESP, Brazil, and partly by Tim Sutton. We continue to provide maintenance and support for the openModeller Desktop application in collaboration with CRIA, (São Paolo state, Brasil). openModeller desktop is open source and freely available from http://openmodeller.sf.net  |
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