Search Results for "process"

The goal of this project is to provide a spatial statistics tools for Geotools, Geoserver WPS, uDig Statistics Toolbox. #. Online Documentation - http://opengxt.mangosystem.com/ #. GeoTools -Download gt-process-spatialstatistics-xx.x.jar file #. GeoServer - Download GeoServer-Extension-OpenGxT-x.xx.x.zip - Unzip and copy two 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

OzGIS is an extensive mapping system for the analysis and display of geographically referenced data. Map data are downloaded from Census bureaux and map agencies or extracted from your own databases. The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research. Systems for Windows, Mac and Ubuntu, source code, sample data files and manuals are included. DOWNLOAD to...

streamline the DSM process in ArcGIS/Numpy/GDAL/Python using Sampling, Statistical elaboration, Prediction to allow the application of extended statistical models generated by the CUBIST (TM) or JMP (TM) software to a set of auxiliary input parameters, thereby bypassing the need to i) manually calculate the equations using Raster calculator; ii) use a grid-to-point conversion process prior to applying the prediction model in the statistical software itself and then a point-to-grid conversion process.

osm2postgresql is a Linux script loading openstreetmap data into a postgresql database setting up if needed a server & database (postgis+hstore). Advanced processing is performed, easing rendering. http://wiki.openstreetmap.org/wiki/Osm2postgresql

GPSDproxy is a small program which reads GPS data from a running gpsd process (http://gpsd.berlios.de/) and forwards it to a remote server via an UDP connection. GPSDproxy is intended to be run on GPS enabled mobile devices.

Implementaion of the David Lowe's feature detector adjusted for processing stereo-photogrammetric image pairs

Directory of geoinformational data and metadata, like georeferenced list of streets in your city, or list of known nomenclature map tiles, and tools to process this data.

The goal of the OSM2PostGIS project is to develop an OpenStreetMap data processor that can import any amount of .osm XML data into a PostGIS database, and produce evaluated navigation network topologies to support routing.

Geographic information system to register and classify illegal waste dumping sites. Goals: - Make the mapping process easy and fun; - Provide real-time information on web.

With OSM Parser it is possible to process OpenStreetMap geodata for various purposes. For example, it can be used to extract streets or other OSM elements for user defined regions to generate a street directory.

EcoMod is an OpenGL application for 3D modelling, simulation and visualization of ecosystems. Trees are modelled and used within simulation to render the emerging natural phenomena of spontaneous afforestation process. Multidisciplinary.

This utility can process multiple POI (Points Of Interest) files (format CSV, comma separated), merge POI lists, find and eliminate (or mark) duplicates (POIs with similar coordinates, e.g. POIs having < 10m distance between them). See docs & screenshots

Orbzilla is a flexible framework for orbit determination. It mechanizes the process of creating batch and Kalman filters to process spacecraft observations.

Centre is a synthetic trajectory generator environment that aim to generate semantic-based trajectory datasets usable for spatio-temporal data-mining algorithms in testing and validation process.

A collection of small utility programs to process geographic information and GPS data. Each program is written in Java and simple enough to be easy to understand. E.g. GTOPO30 to JPG, GLCC20 to JPG, GPX reader.

GeoSharp is a C# library that can read and process GeoRSS feeds.

The R package to be built aims at implementing what I did in a few scripts for the preparation of the papers I published in CaGEO and TGIS (see below). Basically this is related to the computation of the distribution of k co-occurrences of spatial events (generalising the contiguity distributions - 2 co-occurrences at distance 0) to derive spatial clustering statistics (mainly using the Shannon entropy, then called the k-spatial entropy) and methods linked to this: SOOk, SelSOOk (see caGEO...