Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.

Copyright © Wydawnictwo Akademii Rolniczej we Wroclawiu, ISSN 1505-0297

Tracz W. 2004. NEW ANALYTICAL METHODS IN FORESTRY: INTEGRATION OF EXPERT SYSTEMS AND ARTIFICIAL NEURAL NETWORKS WITH GIS, EJPAU 7(1), #04.
Available Online: http://www.ejpau.media.pl/volume7/issue1/forestry/abs-04.html

ABSTRACT

An effective solution of complex spatial problems requires integration of different models, which describe functionality of nature systems with Geographical Information Systems (GIS). It requires support of typical spatial analyses procedures with results obtained from modelling these problems. Selection of modelling methods, which is used for the solution of a given spatial problem, depends on the complexity of the system being modelled and the degree to which the behaviour of the system is recognized.

Key words: forest management, spatial analyses, decision support, GIS, Expert Systems, Artificial Neural Networks.

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