Search Results for "python 2"

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...

AeryxIQ is a Drone Picture Archiving and Communication System. Drop an SD card dump on an asset: AeryxIQ reads every frame's capture time and GPS, splits the dump into flights, and files each flight as its own inspection study. Readers annotate and grade defects, sign a branded PDF report with a public evidence verification link, and read next year's flight against this year's. This is the full product, free to run on your own hardware: Windows installer, Docker Compose bundle, or a...

InspectryxIQ is the Infrastructure PACS: one permanent diagnostic record for every asset a community owns. Healthcare keeps imaging for the life of the patient; InspectryxIQ keeps inspections for the life of the culvert, sewer segment, bridge, facade or tank. The On-Premises Edition is free: the full platform on your own hardware, no account, and no data leaves the building. Windows installer (Docker Desktop set up for you), virtual appliance (VirtualBox, VMware, Proxmox) and a Docker...

...The project implements forward and inverse transformations (WGS→GCJ and GCJ→WGS) as well as a higher-precision inverse method (GCJ→WGS exact) that trades speed for sub-meter accuracy, and it includes a utility for computing geodesic distance in meters. It’s implemented (or ported) across many languages and platforms — you’ll find reference implementations in Go, C/C++/Obj-C, Java, JavaScript, Python, PHP, C#, Haskell, Rust, Swift, MATLAB and more — which makes it easy to drop into server, client, or mobile codebases. The README documents the API signatures and describes expected numeric accuracy (e.g., ~1–2 m for the standard inverse, <0.5 m for the exact inverse) and when to use each routine.

Note: Active projects have been copied to Github: https://github.com/pcraster News, project information, documentation and more are available at http://www.pcraster.eu PCRaster is a collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. Application domains are amongst others hydrology (rainfall-runoff, global water balance, groundwater (with Modflow)), ecology, or land use change. 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. ...

Fielddata Mgr Overview This is a Python program, which means that one must install the open source freely available Python interpreter and a few required also open source, freely available modules that support the functionality of the program. The program "Fielddata Mgr", is customized for the Rick survey department, in such that it supports up to 9 chiefs, each having their own folder in one location, 2 supervisers, each with a PC on the network, and access to a main server. ...

QGis Python Plugin to create named map themes to switch the visibility of all layers belonging to theme. Experimental working prototype with functionality to include in future version of QGIS.

A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)

itrackutil can be used to download and convert data from XAiOX iTrackU GPS data loggers and compatible devices. Device settings can be checked and changed via the graphical user interface.

Alpha test of an XML based HDF reader

photo organizer for picasa web album, photo geolocation from gpx data, kml builder including link to picasa web photo album

PyMemorial is a tool to generate cadastral survey documentation using brazilian's INCRA standards. Completely written in Python it aims to be a simple way to produce all documents following the most current legislation.

dbase2rules is a simple program to convert dbase database to rules suitable for shptoosm

Tool kit for moving KML formatted Geospatial data into and out of other GIS packages such as ESRI ArcGIS, PostGIS, etc Supports reading and writing Google Earth files via Python and other GIS packages.

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.

PyOGCLib is a package of classes that implement specifications of the Open GIS Consortium (OGC), allowing Python applications to spatially plug-and-play with other geoprocessing systems.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and...