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Reimagining GIScience for relational spaces.

Luke Bergmann1, David O'Sullivan2

  • 1Department of Geography, University of Washington.

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Summary
This summary is machine-generated.

This study proposes a new computational method for defining regions based on relational similarities, bridging the gap between GIScience and human geography. It aims to make geographic information systems (GIS) more relevant to critical human geography.

Keywords:
critical GISdistanceregionsrelational space

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Area of Science:

  • Geographic Information Science (GIScience)
  • Human Geography
  • Computational Geography

Background:

  • A significant disconnect exists between the absolute spatial models used in GIScience and the relational space concepts central to critical human geography.
  • This mismatch has led to limited interdisciplinary engagement and a lack of integration of critical human geography theories into GIS data structures.
  • Existing GIScience concepts, like Tobler's First Law, have not significantly engaged human geography scholars.

Purpose of the Study:

  • To reformulate the computational approach to regions within GIScience to accommodate relational space.
  • To demonstrate a method where regions are defined by similarities in relations rather than absolute proximity or intensive properties.
  • To foster greater resonance between GIScience and human geography, encouraging less antagonistic computational practices in critical human geography.

Main Methods:

  • Developing a theoretical framework for representing relational space computationally.
  • Applying the proposed method to three empirical examples to illustrate its functionality.
  • Reformulating core GIScience terms such as distance, proximity, and networks to align with relational spatial concepts.

Main Results:

  • The study presents a novel approach to defining regions based on relational similarities, moving beyond traditional proximity-based methods.
  • Illustrative examples demonstrate the theoretical and empirical viability of the proposed computational reformulation.
  • The findings suggest a pathway for creating new types of GIS and GIScience that align with human geography's theoretical underpinnings.

Conclusions:

  • Reconceptualizing regions based on relational similarities offers a computational bridge between GIScience and human geography.
  • This approach can lead to the development of more theoretically informed GIS and computational practices in human geography.
  • Encouraging interdisciplinary dialogue can enhance the relevance and application of GIScience within critical human geography.