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Object-Oriented Design for Temporal GIS

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TLDR
The author demonstrates how this knowledge might be used in a wide range of applications such as political boundary record maintenance, disease incidence rate analysis in epidemics, and environmental studies of climate change (time-series data).
Abstract
From the Publisher: Object-oriented Design for Temporal GIS explores the major components of the object-oriented analysis and design methods, how they can be used for modeling spatio-temporal data, and how these components are developed and maintained within GIS. It also offers practical guidance to object-oriented methods by demonstrating the feasibility of applying such a method to issues involved in handling spatio-temporal data. The author demonstrates how this knowledge might be used in a wide range of applications such as political boundary record maintenance (historical data), disease incidence rate analysis in epidemics (diffusion rate), and environmental studies of climate change (time-series data).

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Journal ArticleDOI

Exploratory spatio-temporal visualization: an analytical review

TL;DR: A structured inventory of existing exploratory techniques related to the types of data and tasks they are appropriate for is considered, which is potentially helpful for data analysts—users of geovisualization tools.
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Spatial process and data models: Toward integration of agent-based models and GIS

TL;DR: This work discusses approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrates the need and approaches with example agent-based models.

Spatial process and data models : toward integration of agent-based models and GIS.

TL;DR: In this article, the authors identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological.
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Cubic Map Algebra Functions for Spatio-Temporal Analysis

TL;DR: In this article, an extension of map algebra to three dimensions for spatio-temporal data handling is proposed, where cube functions operate on data cubes representing two-dimensional space over a third-dimensional period of time.
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Space-time opportunities for multiple agents: a constraint-based approach

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