Search Results for "user interface"

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...

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.

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

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

This is a Python interface for reading and writing Magellan GPS unit map files. There is also a command line tool for creating GPS maps from OpenStreetMap data.

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.

Generic Python driven XML/CGI interface to heterogeneous databases for the TAPIR and WFS protocols

ZMapServer is a Zope Product that provides a clean interface to the MapServer (http://mapserver.gis.umn.edu) web mapping application.

...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. Click the Blog tab for more info.