In this paper the comparative reading of bi-temporal aerial photo data is based on the spatial statistical analysis. The methodological approach of this work introduces a significant improvement in the assessment of changes in the landscape by providing a wider interpretation to the problems of the area of study to encourage better planning. The elements in their origin on which this work is based are spatial data, these types of data were collected from aerial photos which are our containers of different information in their own spatial distribution that geometric. This paper demonstrates the new features used to obtain an accurate analysis of the transformation of the landscape through spatial statistical methodology.

Spatial Statistical Models for the Evaluation of the Landscape

M MAZZEI
2013

Abstract

In this paper the comparative reading of bi-temporal aerial photo data is based on the spatial statistical analysis. The methodological approach of this work introduces a significant improvement in the assessment of changes in the landscape by providing a wider interpretation to the problems of the area of study to encourage better planning. The elements in their origin on which this work is based are spatial data, these types of data were collected from aerial photos which are our containers of different information in their own spatial distribution that geometric. This paper demonstrates the new features used to obtain an accurate analysis of the transformation of the landscape through spatial statistical methodology.
2013
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Inglese
Computational Science and Its Applications - ICCSA 2013
419
432
http://link.springer.com/chapter/10.1007%2F978-3-642-39649-6_30
Springer
Berlin
GERMANIA
Sì, ma tipo non specificato
une 24-27, 2013
Vietnam
GIS
cartography
spatial data analysis
spatial statistical model
1
none
M. MAZZEI
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/17029
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