NINA
Nordic Informatics Network in the Agricultural Sciences


Geographical Information and Spatial Analysis in Agriculture

 

The usage of computer based Geographical Information Systems (GIS) is rapidly increasing, also within agriculture. The possibilities of getting hold of data has been vastly improved during the last decade, through remote sensing by satelites, by improved air surveillance methods, by seismic measurements and by ground measuments with the aid of GPS-technology, to mention just a few. However, there are considerable challenges in organising, storing and processing all these data such that reliable and acceptable results are achieved with a reasonable consumption of computing resources. Available models and methods approach this problem in different ways, and based on different assumptions. Recently, there has been an increased interest in GIS that can handle the time dimension in addition to the traditional spatial dimension.

 

Goal

The students shall understand possibilities and limitations in using Geographical Information Systems (GIS) as a tool for scientific research within agriculture, forestry, area-planning and environmental issues. The students will achieve a deeper knowledge about the models and methods used in the analysis of geographical data and the fundamental assumptions behind. They will then have a better basis for planning scientific investigations, choosing between different methods and judging the results with regard to credibility and accuracy.

Content

The participants are invited to join the ScanGIS'2001 conference, which will take place during the course

Practical work

Prerequisites

Basic knowledge of the use of computers and some understanding of procedure oriented or object oriented programming. (Detailed knowledge about specific programming languages is not required.) Further, basic knowledge in statistics (probability calculus, random variables, expectations, variance, correlations, estimates, confidence intervals and hypothesis testing). Finally, a basic understanding of GIS - it is possible to achieve this understanding by reading an introductory book before the start of the course.

Lecture Material

Lecture notes, copies of overhead transparencies, assignments, and descriptions of the two-day projects. Most of this material will also be available on the Internet.

Financial support

The course in general is financed by NOVA, Nordic Veterinary and Agricultural University, and NorFA, Nordic Academy for Advanced Study. Thus travel costs and course fee as well as accommodation and meals for Ph.D. students are covered by this general grant.

Scientifically responsible

Professor Geir-Harald Strand


Author: nina.ss@nlh.no. Updated March 8. 2001