This work is based on an analysis of the main components derived from particular patterns of spatial statistical data. The reference models of spatial statistical analysis are extracted only from the data of bi-temporal aerial photographs. This methodological approach introduces a significant improvement in the evaluation of changes in the territorial scenery, providing a wider interpretation of the problems of the area studied and encouraging a more analytical reading of complex environmental phenomena. In order to improve reading and analysis of the territorial changes it is necessary to compare the same geographical space in two different moments that enclose a well-defined period of time.

Evaluating Principal Components Analysis of Particular Spatial Statistical Models

2014

Abstract

This work is based on an analysis of the main components derived from particular patterns of spatial statistical data. The reference models of spatial statistical analysis are extracted only from the data of bi-temporal aerial photographs. This methodological approach introduces a significant improvement in the evaluation of changes in the territorial scenery, providing a wider interpretation of the problems of the area studied and encouraging a more analytical reading of complex environmental phenomena. In order to improve reading and analysis of the territorial changes it is necessary to compare the same geographical space in two different moments that enclose a well-defined period of time.
2014
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
GIS; cartography; spatial data analysis; spatial statistical model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/247528
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