Search Results for "x86_64-linux-gnu"

a R package. 'Qair' gives access to data bases used by air quality monitoring associations in France. It also contains functions to manipualte air quality datas.

The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.

Allows user to input a .csv of UTM coordinates within the Penobscot River basin and calculates in-river distance (in kilometers) from the river's mouth to the locations of interest. The results are output into a new .csv file named yourfilename+RKM.csv. For the purposes of this calculator, river kilometer 0 is located at 516414E 4927755N in UTM Zone 19N, near the southwest corner of Verona Island. Simply download the setup file and run it to install the program. Please contact me with...

... (https://www.virtualbox.org/) on your Linux, Windows or Mac computer. The GISBox is free and open, allowing it to be freely distributed, duplicated and passed around, even with your own datasets and in-house applications. If you read this and are related to the Ecole polytechnique de Lausanne - EPFL (http://www.epfl.ch) in Switzerland, please use this link for downloading or support information: http://gisbox.epfl.ch. Happy (geo)Data Hacking! Brought to you by Citiviz' Builders

'geoconv' is a package to use with R (r-cran). This package is made of functions to convert geographic coordinates and to project geographic coordinates.

In this very first part of the project OpenSpaceSyntax is a collection of functions in shall scripts oriented to the calculation of classic measures of a space syntax analisys procedure for urban fabrics and based on GIS-GRASS (grass.itc.it).

rdv-framework is designed to evaluate and compare ecological conservation reserve selection alogrithms .

This repository is not in active use; the project lives at: https://r-forge.r-project.org/projects/spdep/

An R package for visualising global scale data by easy import & display of country level & gridded data. Rworldmap will also provide access to existing datasets from earth to social sciences and facilitate their combination to provide insights for policy