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Routledge Uncertainty and Context in GIScience - Geospatial Big Data

Amazon

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Description

Uncertainty and Context in GIScience and Geography addresses the fundamental challenges facing geographic research in an era of expanding geospatial data. This Routledge publication examines how measurement errors, sampling uncertainties, and contextual variables affect the interpretation of geospatial information and human behaviour analysis. The book explores multiple sources of uncertainty including data measurement inaccuracies, model specification issues, spatial and temporal boundary definitions, and the complexities of applying different scales and zoning systems to environmental analysis. Designed for higher education students and researchers, this work provides essential frameworks for understanding how geospatial big data uncertainties influence geographic research outcomes and contextual understanding in contemporary GIScience practice.

Key Features

Published by Routledge, a leading academic publisher specialising in geography and earth sciences education materials.

Addresses measurement errors and sampling uncertainties inherent in geospatial data collection and analysis.

Explores how contextual and environmental influences affect the interpretation of geographic information and human experiences.

Examines challenges in defining geographic context across different spatial and temporal scales and zoning schemes.

Designed for higher education students and researchers working with geospatial big data in contemporary GIScience.

Product Specifications

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

Barcode

No barcode data available

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