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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Understanding Town Centre Performance in Wales: Using GIS to Develop a Tool for Benchmarking.

Samuel Jones1, Andy Newing2, Scott Orford3

  • 1Wales Institute of Social and Economic Research and Data (WISERD), School of Social Sciences, Cardiff University, 38 Park Place, Cardiff, CF10 3BB UK.

Applied Spatial Analysis and Policy
|August 25, 2021
PubMed
Summary

This study developed a tool to classify Welsh towns by centre and catchment characteristics, revealing six distinct town types. This classification aids policymakers in understanding town performance and guiding development strategies for enhanced community and economic well-being.

Keywords:
BenchmarkingSpatial interaction modellingTown centresTypologyWalesk-Means clustering

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Area of Science:

  • Urban Planning
  • Economic Geography
  • Regional Science

Background:

  • Welsh Government policy emphasizes town centres for community and economic vitality.
  • Declining town centre usage presents a significant concern, with varied impacts across different towns.
  • Understanding town centre performance requires analysis of both centre and catchment characteristics.

Purpose of the Study:

  • To develop a classification tool for Welsh towns based on centre and catchment attributes.
  • To identify distinct town types and their socio-economic catchment characteristics.
  • To demonstrate the tool's application in analyzing town centre performance variations.

Main Methods:

  • Application of Welsh Government's Planning Policy Wales principles.
  • Delineation of catchment areas using a Spatial Interaction Model.
  • Classification of 71 towns and cities in Wales into six distinct types.

Main Results:

  • Identification of six unique town types with specific socio-economic catchment profiles.
  • Analysis of town centre performance variations across and within these town types.
  • Demonstration of the tool's utility for benchmarking and strategic decision-making.

Conclusions:

  • The developed tool provides a framework for policymakers to assess and compare town centre performance.
  • The classification aids in evaluating retail offerings and guiding future business development strategies.
  • Recommendations are provided for policymakers to enhance town centre appeal and function.