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Building Temporal Dynamism into Applied GIS Research

Building Temporal Dynamism into Applied GIS Research Applied Spatial Analysis and Policy (2019) 12:1–3 https://doi.org/10.1007/s12061-019-09291-w Nick Malleson Published online: 8 February 2019 Springer Nature B.V. 2019 Most human phenomena vary considerably over space and time. Historically, GIS research has focussed on developing approaches that allow spatial phenomena to be recorded, investigated, and displayed. This emphasis on the spatial meant that time was largely relegated to a simple column amongst other attribute data. This uncertainty about how to handle time is evident through the debates and work produced in the early 2000s. Often time was given only cursory treatment – for example by comparing spatial patterns in one year to another – resulting in little impetus to collect more dynamic temporal information at higher resolutions. That is not to say that geographers were not aware of the importance of time in their analysis – Hägerstrand introduced time-geographic concepts in the 1960s after all – but that without the availability of computational tools to manage and analyse the influence of time on a phenomenon, the analysis that GIS professionals could perform was very limited. In recent years, however, two important changes have brought the capability of analysing temporal phenomena to the fore. Firstly, the tools to manage and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Spatial Analysis and Policy Springer Journals

Building Temporal Dynamism into Applied GIS Research

Applied Spatial Analysis and Policy , Volume 12 (1) – Feb 8, 2019

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References (3)

Publisher
Springer Journals
Copyright
Copyright © 2019 by Springer Nature B.V.
Subject
Social Sciences; Human Geography; Landscape/Regional and Urban Planning; Regional/Spatial Science
ISSN
1874-463X
eISSN
1874-4621
DOI
10.1007/s12061-019-09291-w
Publisher site
See Article on Publisher Site

Abstract

Applied Spatial Analysis and Policy (2019) 12:1–3 https://doi.org/10.1007/s12061-019-09291-w Nick Malleson Published online: 8 February 2019 Springer Nature B.V. 2019 Most human phenomena vary considerably over space and time. Historically, GIS research has focussed on developing approaches that allow spatial phenomena to be recorded, investigated, and displayed. This emphasis on the spatial meant that time was largely relegated to a simple column amongst other attribute data. This uncertainty about how to handle time is evident through the debates and work produced in the early 2000s. Often time was given only cursory treatment – for example by comparing spatial patterns in one year to another – resulting in little impetus to collect more dynamic temporal information at higher resolutions. That is not to say that geographers were not aware of the importance of time in their analysis – Hägerstrand introduced time-geographic concepts in the 1960s after all – but that without the availability of computational tools to manage and analyse the influence of time on a phenomenon, the analysis that GIS professionals could perform was very limited. In recent years, however, two important changes have brought the capability of analysing temporal phenomena to the fore. Firstly, the tools to manage and

Journal

Applied Spatial Analysis and PolicySpringer Journals

Published: Feb 8, 2019

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