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M. Yuan (2018)
Human dynamics in space and time: A brief history and a view forwardTransactions in GIS, 22
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Temporal data and the relational data model
R. Snodgrass, Michael Böhlen, Christian Jensen, A. Steiner (1997)
Transitioning Temporal Support in TSQL2 to SQL3
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
Applied Spatial Analysis and Policy – Springer Journals
Published: Feb 8, 2019
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