Scale in Spatial Information and Analysis - Brossura

Zhang, Jingxiong

Brossura

ISBN 10: 1138075361 ISBN 13: 9781138075368

Casa editrice: Routledge, 2017

Riassunto

Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spatial Information and Analysis describes the scales of measurement and scales of spatial variation that exist in the measured data. It provides you with a series of tools for handling spatial data while accounting for scale.

The authors detail a systematic strategy for handling scale issues from geographic reality, through measurements, to resultant spatial data and their analyses. They also explore a process-pattern paradigm in approaching scale issues. This is well reflected, for example, in chapters dealing with terrain analysis, in which scale in terrain derivatives is described in relation to the processing involved in the derivation of specific terrain variables from elevation data, and area classes, which are viewed as driven by class-forming covariates. Lastly, this book provides coverage of some of the issues related to scale that are relatively under-represented in the literature, such as the effects of scale on information content in remotely sensed images, and the interaction between scale and uncertainty that is increasingly important for spatial information and analysis.

By taking a rigorous, scientific approach to scale and its various meanings in relation to the geographic world, the book alleviates some of the frustration caused by dealing with issues of scale. While past research has led to an increasing number of journal articles and a few books dedicated to scale modeling and change of scale, this book helps you to develop coherent strategies for scale modeling, highlighting applicability for a variety of fields, from geomatic engineering and geoinformatics to environmental modeling.

Su questo libro

Informazioni sull?autore

Jingxiong Zhang, Peter Atkinson, Michael F. Goodchild

Dettagli dell?edizione

• Editore: Routledge
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1138075361
• ISBN 13: 9781138075368
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 368
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile