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  • Search: subject:"Spatio-temporal clustering"
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Subject
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Spatio-temporal clustering 3 Agglomeration 2 Non-parametric measures 2 STIK functions 2 Spatial health econometrics 2 Agglomeration effect 1 Agglomerationseffekt 1 Cluster analysis 1 Clusteranalyse 1 Geospatial lifelines 1 Medical device industry 1 Medical technology 1 Medizinprodukteindustrie 1 Medizintechnik 1 Mobile objects 1 Pharmaceutical industry 1 Pharmaindustrie 1 Regional cluster 1 Regionales Cluster 1 Räumliche Verteilung 1 Spatial distribution 1
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Undetermined 2
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Arbia, Giuseppe 2 Dickson, Maria Michela 2 Espa, Giuseppe 2 Giuliani, Diego 2 Mark, David M. 1 Sinha, Gaurav 1
Published in...
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Journal of Geographical Systems 1 Regional Science and Urban Economics 1 Regional science & urban economics 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Spatio-temporal clustering in the pharmaceutical and medical device manufacturing industry: A geographical micro-level analysis
Arbia, Giuseppe; Espa, Giuseppe; Giuliani, Diego; … - In: Regional Science and Urban Economics 49 (2014) C, pp. 298-304
particular, we illustrate the use of the space–time inhomogeneous K-function (Gabriel and Diggle, 2009) to detect the spatio-temporal … clustering of firm entries and firm exits generated by the interaction between economic agents while controlling for common …
Persistent link: https://www.econbiz.de/10011117442
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Cover Image
Spatio-temporal clustering in the pharmaceutical and medical device manufacturing industry : a geographical micro-level analysis
Arbia, Giuseppe; Espa, Giuseppe; Giuliani, Diego; … - In: Regional science & urban economics 49 (2014), pp. 298-304
Persistent link: https://www.econbiz.de/10011291524
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Measuring similarity between geospatial lifelines in studies of environmental health
Sinha, Gaurav; Mark, David M. - In: Journal of Geographical Systems 7 (2005) 1, pp. 115-136
Many epidemiological studies involve analysis of clusters of diseases to infer locations of environmental hazards that could be responsible for the disease. This approach is however only suitable for sedentary populations or diseases with small latency periods. For migratory populations and...
Persistent link: https://www.econbiz.de/10005075532
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