GPS navigation software for Windows Mobile & WinCE devices.
NAVeGIS is a Windows Mobile navigation application for use with custom or open data routable IMG maps.
GPS track editor for editing tracks and planning (multiple) day tours
JGPSTrackEdit is a tool for editing gps tracks and planning (multiple days) tours (GPS track editor). An abritary number of tracks may be opened or created, tracks may be merged. A track may be splitted, reversed or edited (e.g. compressed and corrected). Points may be inserted or appended to a track (routing supported) or may be moved or deleted from a track. Maps of several providers are available, the default map is OpenStreetMap. Currently supported track formats: garmin route, gpx and txc, kml, import from www.gpsies.com. JGPSTrackEdit my also be used to download tile images for later offline use by smartphone apps. JGPSTrackEdit is written in the java language. To run the software, a java runtime installation is required (may be obtained from www.java.com/download/index.jsp) More information, including the user manual, may be found on the wiki pages (https://sourceforge.net/p/jgpstrackedit/wiki/Home/)
Tutorials and help: http://abc-map.fr New version coming soon ! https://github.com/remipassmoilesel/abcmap2
Offline vector map display ported from OsmAnd
An offline map viewer for the Desktop based on OsmAnd.
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download
GeoData Web Editing [core SIG Web]
GeoWE is an open free GIS platform oriented to advanced geodata editing on The Web. The main aim of this initiative is to move the strenghts usually linked to desktop GIS to a web environment, by leveraging open source technologies. This is a free software project that is part of the open source GIS world, and it is developed in Java using the Google Web Toolkit framework. The geowe-core is being developed using the following technologies: - GWT (Google Web Toolkit) - JBoss ERRAI Framework - Sencha GXT - GWT-OpenLayers
Q-Rap (www.QRap.org.za) is a Radio Network Planning plug-in for QGIS
Q-Rap (www.QRap.org.za) is a Radio Network Planning plug-in for QGIS (www.qgis.org)
The remote sensing and GIS library is a set of C++ libraries and commands for the processing of spatial data (raster, vector and point cloud). Functionality is available through an XML interface, ideal for batch processing. Code is has been moved to https://bitbucket.org/petebunting/rsgislib
Recognizing biological data from a notebook.
This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis.
A reference implementation of the Polish geobotanical grid
This project is a reference, open source implementation of the coordinate conversion algorithms for the Polish geobotanical grid called ATPOL.
OS that includes the Semi-Automatic Classification Plugin for QGIS
The Semi-Automatic OS is a lightweight OS designed for the land cover classification of remote sensing images. It includes the Semi-Automatic Classification Plugin for QGIS 2.8, already configured along with all the required dependencies (OGR, GDAL, Numpy, SciPy, and Matplotlib). The Semi-Automatic Classification Plugin is a free plugin that allows for the semi-automatic supervised classification of remote sensing images, providing tools to expedite the creation of ROIs and the classification process. The Semi-Automatic OS is based on Debian 8, and it is designed to require very little hardware resources. It uses LXDE and Openbox as main desktop environment. At the moment, the Semi-Automatic OS is available as a virtual machine.
Batch convert Lat/Long to UTM for Zone 19
This simple R code converts GPS coordinates from Decimal Degrees or Degrees Minutes Seconds format to Northings and Eastings in UTM Zone 19. Coordinates should be entered as a .csv containing the column names "Latitude" and "Longitude" (capitalization does not matter). The code was designed primarily for use by researchers at the University of Maine working on the Penobscot River, but could be easily modified to handle other UTM Zones.
a space-time interpolation geostatistical tool
This software is a time-aware geostatistical tool. Including time variability adds further issues to the already complicated field of geostatistical interpolation. On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which time series and equal-time GIS Grid layers can be extracted.
A software package for quantitative analysis in Panbiogeography
Croizat is a free, user-friendly, cross-platform desktop software package which biologists can use to integrate and analyze spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach.
FastVersion is a Qgis plugin for data versioning in a Postgis database
FastVersion is a Qgis plugin for data versioning in a Postgis database. This plugin provides data versioning to tables with geometry stored in postgis. It allows to create, changes and eliminate versions, and within each version , to insert, modify and eliminate elements. It is possible carry out the processes of “post” from one version to another, with conflict resolution functionality. The system uses algorithms and data structures so that information is not duplicated each time a version is created. We recommend downloading it from the Qgis app. Plugins->Manage and Install Plugins->Settings->Show also experimental plugins Plugins->Manage and Install Plugins->Search FastVersion If downloaded from sourceforge, it must be unzipped in \.qgis2\python\plugins
Tool for assessment of environmental services on farm scale.
The "MANUELA"-project is designed to enable farmers for the documentation of the environmental services provided by their holdings. Localization, description and evaluation of these services are joined within an open source Geographic Information System (OpenJUMP) and a PostgreSQL database.
Look up in river distances in the Penobscot River drainage.
Allows user to input a .csv of UTM coordinates within the Penobscot River basin and calculates in-river distance (in kilometers) from the river's mouth to the locations of interest. The results are output into a new .csv file named yourfilename+RKM.csv. For the purposes of this calculator, river kilometer 0 is located at 516414E 4927755N in UTM Zone 19N, near the southwest corner of Verona Island. Simply download the setup file and run it to install the program. Please contact me with suggestions to improve this program.
Application for managing land searches for missing persons.
Experimental application for assisting in the management of land searches for missing persons. Incorporates OpenJump for GIS rendering of segments, establishing intitial POA values for segments through consensus or mixed consensus and statistical distances, POS and POA recalculation based on PODs from applied resources, and task assignments suggested by missing person behavior profiles.
SPatial Analysis With self-organizing Neural Networks
The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. Transactions in GIS, 20(5), 755-775. Other related publications: - Hagenauer, J. (2016). Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks. Journal of Geographical Systems, 18(1), 1-15. - Hagenauer, J., & Helbich, M. (2013). Contextual neural gas for spatial clustering and analysis. International Journal of Geographical Information Science, 27(2), 251-266.
Get in an instant visualization of the streets with this extension dedicated to your computer desktop. The application offers you the opportunity to search for places using advanced options: Establishments, Geocodes and Addresses. Finally you can have a preview of the geographical coordinates of the place you want to explore ============== OS requirements Support Windows 7 and later ia-32 x64 ============== Get Opera extension: http://bit.ly/1NT2ZDz
Spectral Data - binary builds for Windows 10
Small Qt based experimental program for processing spectral data. Example data are available from Files/example-data folder.
A Landsat 8 scene viewer
Viewpix allows the user to load all eleven bands of a Landsat 8 Level 1 data set into memory concurrently. You can scroll and view each band at full resolution. Change bands instantly with a single key press. Band 8 is 15 meters resolution, all other bands are 30m resolution. A 30m resolution gray scale scene is generated by Viewpix and is presented as band 12. Each Landsat 8 scene is roughly 190 X 180 kilometers. Viewpix was originally written as a simple platform to test GPU software on low end computer systems. This is the "lite" version of Viewpix as it has no cuda filters installed. Viewpix is written in C. It is tested on Ubuntu and Centos. It should work with most current Linux distributions. Viewpix runs efficiently on computers with modest CPU's such as low power mini-ITX boards. It is known to work nicely on Intel NUC, AMD A6 SOC , and NVIDIA TX2. A multiple core cpu, 8 GB ram, and a large capacity hard drive are suggested.