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This is a simple geoprocessing tool that extracts adjacency information from a layer of polygons. The output is a polyline layer with one record for each border between each pair of neighboring polygons. Download v. 0.1. After downloading and installing, you can right-click on a new toolbox, choose "Add -> Tool", and select Boundary Generator under the "MWSW Geoprocessing Tools" group. You can also find MWSW Boundary Generator on the "Index" toolbox view. Highly recommended: Send a blank email t
This repository contains a PDF of the presentation titled "Python and GIS: Beyond Modelbuilder and Pythonwin", presented at the ESRI 2008 PUG in Houston, Texas on February 26, 2008. All source code is also included.
ftools-qgis provides a set of advanced spatial analysis tools designed to extend the functionality of Quantum GIS, a free, open-source GIS. Currently, ftools-qgis features: 1) manageR - Interface to R statistical analysis Provides advanced statistical functionality within QGIS by loosely coupling QGIS with the R statistical programming language. Allows upload of QGIS layers directly into R, and the ability to perform R operations on the data directly from within QGIS. It interfaces with R using
This project will demonstrate and develop several examples for using the Google Earth API as the front end to geoprocessing tasks from a variety of GIS software suites, both commercial and open source. Using the Google Earth API with ESRI's JS APICheck it out! Blog entry about the Earth API / ESRI Demo
Linkage Mapper is a GIS tool designed to support regional wildlife habitat connectivity analyses. It consists of several Python scripts, packaged as an ArcGIS toolbox, that automate mapping of wildlife habitat corridors. We developed these scripts for the Washington Wildlife Habitat Connectivity Working Groupâ€™s (WHCWG) 2010 statewide connectivity analysis, and are making them public for use in other wildlife connectivity assessments. Linkage Mapper uses GIS maps of core habitat areas and resis
This project aims to demonstrate the ability for Google Earth to act as the front-end and visualization mechanism for conducting real geospatial analysis using ESRI's ArcGIS Server as the geoprocessing back-end.
This library contains all geoprocessing power that is behind JGrass and that can be kept at library level. IntroductionThe main reason for extracting the processing power from JGrass is due mainly to: the need to cleanup the whole project creating a new project with clear roadmap and release cycles the need to supply the processing power not only to desktop applications but also to more modern applications like the WPS in serverside mapping environments or OMS3 in elastic clouds. Project structu