Search Results for "packages"

...If you are using multiple versions of Elasticsearch, you need to use multiple versions of the client. In the past, install multiple versions of the same package was not possible, but with npm v6.9, you can do that via aliasing. You will require the packages from your code by using the alias you have defined.

To develop an Arduino Nano based GPS module that is low cost, portable and can be used in Astronomy. (c) Copyright Robert Brown 2014-2024. All Rights Reserved. Permission is granted for personal and Academic use only. Code or portions of code may not be copied or used without appropriate credit given to author.

...Runs on Windows, uses open source libraries. Requirements: 1) Net Framework 4.8 Runtime https://dotnet.microsoft.com/es-es/download/dotnet-framework/net48 2) Visual C++ Redistributable Packages for Visual Studio 2013 https://www.microsoft.com

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. ...

Geomorphometry Toolbox for AG is concerned with automated analysis of Digital Elevation Models with ESRI's software packages, mainly ArcInfo and ArcGIS

...As the tool is written in QT/jquey/HTML/javascript, there is a good change that it will run on other OSes. Version 1.0 should be good enough to be offered to the public Please see the files section for RPM packages

GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software (https://www.virtualbox.org/) on your Linux, Windows or Mac computer. ...

Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.

The SELENA and RISe software tools are two packages to assist in computing earthquake damage scenarios. The damage probability for any specific structure follows the computation principles of HAZUS.

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.

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.

GRASP means Generalized Regression Analysis and Spatial Prediction. It is a plugin for R and S-Plus statistical packages that offers an automated way of making spatial predictions from point surveys using Generalized Addititive Models.

...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.