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Routledge - Uncertainty and Context in GIScience and Geography

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Description

In the current era of geospatial big data, researchers face significant hurdles regarding the accuracy of spatial information. This Routledge publication explores how uncertainty and context present fundamental challenges within GIScience and geographic research. As datasets grow, understanding the errors embedded in measurement and sampling becomes more important for accurate analysis. This book examines the various types of uncertainty that can obscure the relationship between environmental influences and human experiences. It addresses critical issues such as model specifications, the delineation of geographic context across space and time, and the complexities of using different spatiotemporal scales. By analyzing these factors, the text provides a framework for understanding how zonal schemes and data limitations affect geographic studies. It is an essential resource for those studying the effects of geospatial data errors on modern scientific inquiry.

Key Features

Examines fundamental challenges in GIScience and geographic research caused by uncertainty and context.

Addresses errors in geospatial data measurement and sampling that impact research accuracy.

Explores how different spatiotemporal scales and zonal schemes affect data analysis.

Discusses the impact of model specifications and geographic delineations on spatial studies.

Provides insights into how geospatial data errors can obscure environmental influences on human behavior.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 February 2021
Listed Since
09 September 2020

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No barcode data available

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