Search Results for "python project"

OpenJUMP is a community driven fork of JUMP the "Java Unified Mapping Platform" GIS software. The original JUMP was developed by Vivid Solutions, released under GPL2 in 2003 and discontinued in 2006. During 2004 already some enthusiastic developers joined together to enhance further the features of JUMP. They launched an independent development branch called OpenJUMP. The name gives credit to the original JUMP development, and at the same time describes the objectives of this project to...

...For more information visit the project homepage and the wiki.

...Two scripting languages (PCRcalc and Python) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data.

To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. ...

The Geocanvas project aims to provide a very small and simple set of APIs to assist the developer in creating geographically referenced canvas applications within the GTK/Gnome environment.

openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.

This software enables easy creation and sharing of district maps online.

QGIS Plugin to Read/Write xml metadata files associated with geospatial file formats.

This project aims to provide an open source fleet management system with special focus on modularity and integration.

TransimsGui and makeTransims allow users to automatically generate triptables, timetables and vehicle files, edit individual control files, create batch files for transims feedback processes, run exe-control file pairs and run batch files.

This is the worlds first and probably only FLOSS project aimed to create a lowbudget, based on availble technology, cruise missile. No this is not a Joke, its for real. Why? Since no one has tried to do this before and certainly not under the GPL.

A Open Source project with the main goal to make a simple way to display 3D objects from a Geodatabase (PostgreSQL/PostGIS) on the Web. This project was created by OpenGEO (www.opengeo.com.br).

The NHD Software Project is a collection of the utilities, scripts, APIs, standards, and application extensions used for the quality assurance of stream and river data, conflation/generalisation of hydrographic data, and other hydrologic data maintenance.

This project exists as a central meeting place for those wishing to share in-house developed applications and tools for local government (and related industries) in Australia.

The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.

GrassView is a wxPython GUI for GRASS, the GNU Geographical Information System.

This project provides a library written in Python for reading and eventually writing ISO8211 files. ISO8211 is a format used for various GIS systems (geographic data), including SDTS, the format used by the US Geological Survey.

...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. ...