Search Results for "gdal"

Julia wrapper for GDAL - Geospatial Data Abstraction Library. This package is a binding to the C API of GDAL/OGR. It provides only a C style usage, where resources must be closed manually, and datasets are pointers. Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl. Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly.

GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications.

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. ...

A GUI for the freeware Geographical Information System PCRaster. This is an independent development. It uses the conda installation of PCRaster and can also use GDAL. Mapedit has been completely renewed. The GIT repository is available linked to PCRaster and available here: https://sourceforge.net/projects/pcraster/ Mapedit code : https://github.com/vjetten/MapEdit NutShell code: https://github.com/vjetten/NutShell The code is currently compiled for windows systems but is tested under ubuntu.

...It allows spatial vector data (points, lines, polygons etc.) to be represented as records in data frames (or tibbles) with geometry list columns, and performs spatial operations (geometry operations, coordinate reference system transformations, reading/writing spatial data, integration with spatial databases etc.). It interfaces to GDAL, GEOS, PROJ libraries for robust operations. Reading and writing spatial vector data via many file formats/drivers through GDAL, and spatial databases (PostGIS etc.) Supports all standard simple feature geometry types (points, linestrings, polygons, multi-geometries etc.) in various dimensions (XY, XYZ, XYM, XYZM).

A collection of Fortran interfaces to the most common Open Source GIS libraries, plus some more Fortran-specific tools.

...It shows floating-point and integer intensity images in a false-colour display and allows range adjustment, zooming, histogram optimisation, and simple evaluation. Reads most formats using GDAL.

...Please follow to https://github.com/vadp/tilers-tools instead. A family of scripts for creating and handling a tile sets from digital raster maps. The scripts are based on GDAL tools. gdal_tiler.py -- creates a tile set tree directory from a GDAL dataset (including BSB/KAP, GEO/NOS, OZI map, KML image overlays); tiles_merge.py -- sequentially merges a few tile sets in a single one to cover the area required; tiles_convert.py -- converts tile sets between a different tile structures: TMS, Google map-compatible (maemo mappero), SASPlanet cache, maemo-mapper sqlite3 and gmdb databases; ozf_decoder.py -- converts .ozf2 or .ozfx3 file into .tiff (tiled format) hdr_pcx_merge.py -- converts hdr-pcx chart image into .png

SpeciesGeoCoder is an open-source software package written in Python and R, that utilise the GDAL library (http://www.gdal.org/) for fast analysis of geoTIFF files, which allows for the easy and fast coding of species into user-defined operational units. For more info: https://github.com/mtop/speciesgeocoder

... - GRASS - MapServer - OpenLayers - uDig - OpenJUMP - Zoo WPS - PostgreSQL - PostGIS Besides these software packages, all the packages they need are included too (such as libraries, Proj, Gdal/OGR...)

Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.

ASTER browse imagery comes without any world files, however is provided in the meta data. The tool allows together with GDAL to roughly locate the browse imagery in a GIS.

WARNING: rgdal is only available for download from CRAN - this repository no longer used for development. NEVER use the very out of date file bundles for download from this site!!! See http://cran.r-project.org/web/packages/rgdal/index.html.

Software to georeference images using gdal.

GtkGis is a Gtk+ widget to embed basic GIS functionalities inside applications. It requires GooCanvas, libxml and Gdal.

tkimggdal - A photo image format handler using the Geospatial Data Abstraction Library (GDAL)

View and navigate on raster map with GPS. I want to use it in offroad expeditions. Import oziexplorer raster map. Use GDAL readable format, geotiff is preferred. Import/export data to GPX format. Using python scripts for core AI tasks.

libral is a C library for in-memory rasters. It also includes code to render GDAL raster and vector data onto a GDK pixbuf.

VRVis is a programmer's toolkit for rapid development of Virtual Reality applications in the field of geospatial data visualization. It is based on VR Juggler and the Geospatial Data Abstraction Library (GDAL).