Scientific Software

Analytical Software Packages Supported by NCEAS Scientific Computing

NCEAS encourages and strongly supports the use of open source software packages (e.g., the R Programming Environment, GRASS GIS, and PosgreSQL) that the scientific community widely contributes to, that are distributed under a General Protection License, and that publish source code and algorithms. NCEAS also recognizes that for some research, commercial proprietary software products are the best alternative and we support such packages.

Scientific Computing Services encourages contributions to this page.
Please send your suggestions to: reevesatnceas [dot] ucsb [dot] edu (Scientific Computing Services)

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Mathematics and Statistics Software

The Math Works / MATLAB

The MATLAB Central Script Exchage The R Project for Statistical ComputingThe SAS Institute

Software Package Support          

ESRI ArcMap GIS Version 9 Installation Instructions (39 kb pdf)

Sun MPI 7.0 (OpenMPI) Software Programming and Reference Manual

GIS and Geospatial Data Analysis

thematicmapping.org

This site presents the Thematic Mapping Engine, software for creating innovative thematic maps using GoogleEarth technology.

UC Davis Soil Resource Laboratory

A great resource for soils-related geospatial research, the Software section contains many concise R spatial analysis examples.

GeoDa Center For Geospatial Analysis and Computation

Luc Anselin's (Arizona State University) successor to his Spatial Analysis Laboratory (SAL). Good resource for state-of-the-art geospatial analysis methods and software tools.

PostGIS

PostGIS adds support for geographic objects to the PostgreSQL object-relational database.

Free GIS Clearinghouse

The FreeGIS Project: A software overview for Free Geographic Information Systems

Hawth's Analysis Tools for GIS: ArcMap GIS Toolbox

An extension for ArcGIS/ArcMap, this performs spatial analysis and functions that cannot be conveniently accomplished with out-of-the-box ArcGIS.

Climate Data Operators (CDO)

CDO is a collection of command line utilities that manipulate and analyze climate data in GRIB, netCDF, SERVICE, EXTRA and IEG formats.

GRASS GIS in a Nutshell (1.4 mb PDF)

A good, basic GRASS GIS tutorial - A great place to start learning GRASS

An Introduction to the Practical Use of GRASS 6.0 (4.3 mb PDF)

A comprehensive guide for the new GRASS GIS user who has completed GRASS GIS in a Nutshell

Markus Netler's GRASS GIS Seminar (November 2006) (10 mb PDF)

Slides from a comprehensive GRASS seminar delivered at ITC-irst, Povo (Trento), Italy

GRASS: Geostatistics and Spatial Data Analysis

A web-based clearinghouse with links to documents, web sites, and mailing lists that describe GRASS geostatistical analysis tools.

Quantum GIS Version 1.0 User Guide

User guide for Quantum GIS (QGIS) - a powerful, open-source GIS

Open OS/X Offers GRASS GIS for Mac OS/X

This application can transform your Mac into a full-featured Geographic Information System

Unified Mapping Platform (JUMP)

JUMP is a GUI-based application for viewing and processing spatial data. It is also an extensible framework for developing and running custom spatial data processing applications.

Open Geospatial Consortium (OGC)

OGC is a non-profit, standards organization that is leading the development of standards for geospatial and location-based services.

Image Processing and Analysis

Windows Image Manager (WIM)

A general-purpose image analysis software used to view and analyze environmental satellite data

NASA SeaWIFS Data Analysis System (SeaDAS) Software

A comprehensive image analysis package for the processing, display, analysis, and quality control of ocean color satellite (SeaWIFS,MODIS, OCTS,CZCS) image data

Tutorial: Download and Resampling of MODIS Images Using R

An end-to-end example demonstrates both download and processing of MODIS data from NASA servers, as well as the creation of a ready-for-analysis MODIS image mosaic at user-specified spatial resolution.

Relational Database Management

MySqlSQL

PostgreSQL

Web Site Development

HTML Tutorial with Examples