| CARVIEW |
Select Language
HTTP/2 200
accept-ranges: bytes
age: 17657
cache-control: public,max-age=0,must-revalidate
cache-status: "Netlify Edge"; hit
content-encoding: gzip
content-type: text/html; charset=UTF-8
date: Tue, 30 Dec 2025 21:13:20 GMT
etag: "672780acb75181cb190105ae62dfa71f-ssl-df"
server: Netlify
strict-transport-security: max-age=31536000
vary: Accept-Encoding
x-nf-request-id: 01KDRHQDTXZQHVTVXV1EER44YB
content-length: 5703
:: Environmental Computing
navigation
Welcome to Environmental Computing
Getting started with R, data manipulation, graphics, and statistics for the environmental sciences
Students and researchers in the environmental sciences require a wide range of quantitative skills in analytical and data processing software, including R, geographic information systems (GIS) and the processing of remotely sensed data. There is increasingly a need to ensure transparency of data processing supported by statistical analyses to justify conclusions of scientific research and monitoring for management and policy. This site is a brief introduction to techniques for data organisation, graphics and statistical analyses.
