2019
DOI: 10.1111/pirs.12470
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SPAG: Index of spatial agglomeration

Abstract: The paper develops a spatial agglomeration index (SPAG) of the economic activity for the point geo-localizations of firms. It includes the effects of location, the distance between firms and the overlapping impact of the firms' size. The SPAG builds a new class of measures of the spatial density of the economic activity inside the region, based on the geometrical representation of firms with circles, without referring to the commonly used Ripley's K function. The SPAG measures the degree of divergence from the… Show more

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Cited by 8 publications
(7 citation statements)
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“…The application of SPAG by policy makers, as well as the comparability between regions, sectors over time is easy and powerful. According to Kopczewska (2017), the SPAG index can be applied for measuring the degree of spatial agglomeration (concentration, clustering). In this situation, the index gives an opportunity to follow the agglomeration process.…”
Section: Resultsmentioning
confidence: 99%
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“…The application of SPAG by policy makers, as well as the comparability between regions, sectors over time is easy and powerful. According to Kopczewska (2017), the SPAG index can be applied for measuring the degree of spatial agglomeration (concentration, clustering). In this situation, the index gives an opportunity to follow the agglomeration process.…”
Section: Resultsmentioning
confidence: 99%
“…According to Kopczewska (2017), the SPAG index as a measure of the degree of spatial agglomeration allows: 1) comparing the regions or sectors over time, 2) comparing sectors inside a region and between regions. The SPAG index uses combination of information on the area, size and sectors of companies.…”
Section: Denote Its Realisation Bymentioning
confidence: 99%
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“…Spatial analysis is a process by which processes can be modeled by spatially assessing the feasibility of interventions/investments for a given location, estimating and predicting results, interpreting and understanding changes, detecting patterns and more. It integrates the spatial perspective with statistical and alphanumeric information through a process of analysis and exploration of geospatial data [40,41].…”
Section: Spatial Analysismentioning
confidence: 99%