Spatial Statistics Libraries & Tools for GeoTools, GeoServer, uDig
The goal of this project is to provide a spatial statistics tools for Geotools, Geoserver WPS, uDig Statistics Toolbox. #. GeoTools - Download gt-process-spatialstatistics-14.5.jar file. #. GeoServer - Download gs-wps-spatialstatistics-2.8.5.jar, gt-process-spatialstatistics-14.5.jar files. - Copy these files to the WEB-INF/lib directory of the GeoServer installation. - restart GeoServer. #. uDig 2.0.x Plugin Installation - Name: Spatial Statistics Toolbox - URL : http://www.mangosystem.com:8080/s2toolbox_updates
A collection of Dokuwiki plugins that will enable the user to spatially enable and use the wiki, currently we have: openlayersmap (a map), geotag (ways of geotagging a page)
Distributed Version Control System for Geospatial data
Welcome to the GeoGig project, exploring the use of distributed management of spatial data. GeoGig draws inspiration from Git, but adapts its core concepts to handle versioning of geospatial data. Users are able to import raw geospatial data (currently from Shapefiles, PostGIS or SpatiaLite) in to a repository where every change to the data is tracked. These changes can be viewed in a history, reverted to older versions, branched in to sandboxed areas, merged back in, and pushed to remote repositories.
CFFI glue code to use Proj.4 library in Lisp
CFFI glue and bindings for the Proj.4 library to provide a wealth of geographical projections in Common Lisp environment. PROJ.4 is a Cartographic Projections library originally written by Gerald Evenden then of the USGS. CL-PROJ provides complete bindings for this library.
Application to browse and visualize your GPS files
Desktop application for browsing and visualizing GPS files on your local storage or on network. * Quickly navigate your GPS files using embedded file/track/metadata browser * Works with gpx, kml, and csv files * Show overview map of all tracks in directory * Filter tracks in browser based on metadata, location, and path * Color code track overview based on metadata, e.g., overall distance, start time * Simultaneously view one or more tracks on map while graphing detailed metadata (e.g., speed, elevation, hill gradient) * Quickly determine distance and duration for portions of tracks by mousing or dragging in the graph. Use this to see exactly how different routes compare in time and distance Written in WxPython+Matplotlib. Windows executable available; Mac and Linux can be run via script.
Extensible NMEA-0183 (GPS) data parser in standard C. A directly linkable library intended for applications that want to embed GPS support.