Agriculture Reference
In-Depth Information
Thus, the changes in vegetation vigor through a growing season can be animated to
determine when drought is most extensive in a particular region.
GIS and related technology will help greatly in the management and analysis
of large volumes of data, allowing for better understanding of terrestrial processes
and better management of human activities to maintain world economic vitality and
environmental quality.
11.6 Techniques Used in GIS
GIS software is the main method through which geographic data is accessed, trans-
ferred, transformed, overlaid, processed, and displayed. GIS-based modeling deals
with different layers or information concerns. The model needs some rules or cri-
terion based on which the analysis is done. The relevant scientists, who know the
interactions of the layers and can apply their knowledge for the analysis, can develop
the rules or criterion. The overlay technique of GIS provide the users flexibility
in dealing with the interactions between the parameters concerned spatially and
thereby demonstrate the results spatially as map form. The rules and the relevant
database development are crucial for GIS modeling.
11.7 Implementation of GIS
It is generally understood that a system means a combination of workable hardware
and software, but a GIS system is different, which includes the data base, trained
personnel, and a methodology to operate the data for the application. Requirements
of a GIS should be defined in terms of the applications the system is expected
to support. A data base is the foundation needed to perform any application.
GIS software is the central to the professional analysis and presentation of GIS
data.
The following different steps have to follow to carry out a GIS application:
(e) Outline and elaborate the objective(s)
(f) Outline the analysis need
(g) Formulate the rule for analysis
(h) Outline the data need and their format
(i) Look the data availability at different sources
(j) Identify the data need to capture, collect, and collate
(k) Coding the data, assess its accuracy
(l) Capture the data, edit and clean it with proper documentation
(m) Do necessary analysis
(n) Produce output and validate (if applicable)
(o) Prepare a report
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