Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index
In the present work, the authors demonstrate the possibility of using Moran’s index and its components on the example of Samara region. As area units the study employs 37 municipalities of the 1st level - 10 urban districts and 27 municipal townships. Using the global Moran’s index the researchers c...
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Format: | Article |
Language: | Russian |
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Economic Research Institute of the Far East Branch of the Russian Academy of Sciences
2014-06-01
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Series: | Prostranstvennaâ Èkonomika |
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Online Access: | http://spatial-economics.com/eng/images/spatial-econimics/3_2014/SE.2014.3.095-110.Pavlov.pdf |
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author | Yuriy Vladimirovich Pavlov Elena Nikolaevna Koroleva |
author_facet | Yuriy Vladimirovich Pavlov Elena Nikolaevna Koroleva |
author_sort | Yuriy Vladimirovich Pavlov |
collection | DOAJ |
description | In the present work, the authors demonstrate the possibility of using Moran’s index and its components on the example of Samara region. As area units the study employs 37 municipalities of the 1st level - 10 urban districts and 27 municipal townships. Using the global Moran’s index the researchers construct a spatial scatter plot and reveal four territorial clusters: kernels, the satellite-counterbalance, the periphery and areas outside the influence of kernels and the satellite-counterbalance. Next, using the local Moran’s index the authors determine six sub clusters: kernels, the satellite-counterbalance, the area of profound effect of kernels and the satellite-counterbalance, the area of low impact of kernels and the satellite-counterbalance, the kernels’ counterweight and areas outside the influence of kernels and the satellite-counterbalance. The local Moran’s index decomposition helps to identify areas of influence of both the Samara city kernel and the integrated system of Samara and Tolyatt |
first_indexed | 2024-12-11T01:46:57Z |
format | Article |
id | doaj.art-3ff5f4826b644051b9a9e876d8f7cc03 |
institution | Directory Open Access Journal |
issn | 1815-9834 2587-5957 |
language | Russian |
last_indexed | 2024-12-11T01:46:57Z |
publishDate | 2014-06-01 |
publisher | Economic Research Institute of the Far East Branch of the Russian Academy of Sciences |
record_format | Article |
series | Prostranstvennaâ Èkonomika |
spelling | doaj.art-3ff5f4826b644051b9a9e876d8f7cc032022-12-22T01:24:53ZrusEconomic Research Institute of the Far East Branch of the Russian Academy of SciencesProstranstvennaâ Èkonomika1815-98342587-59572014-06-0139511010.14530/se.2014.3.95-110Spatial Interactions: Evaluation with the Help of Global and Local Moran’s IndexYuriy Vladimirovich Pavlov0Elena Nikolaevna Koroleva1Samara State Economic UniversitySamara State Economic UniversityIn the present work, the authors demonstrate the possibility of using Moran’s index and its components on the example of Samara region. As area units the study employs 37 municipalities of the 1st level - 10 urban districts and 27 municipal townships. Using the global Moran’s index the researchers construct a spatial scatter plot and reveal four territorial clusters: kernels, the satellite-counterbalance, the periphery and areas outside the influence of kernels and the satellite-counterbalance. Next, using the local Moran’s index the authors determine six sub clusters: kernels, the satellite-counterbalance, the area of profound effect of kernels and the satellite-counterbalance, the area of low impact of kernels and the satellite-counterbalance, the kernels’ counterweight and areas outside the influence of kernels and the satellite-counterbalance. The local Moran’s index decomposition helps to identify areas of influence of both the Samara city kernel and the integrated system of Samara and Tolyatthttp://spatial-economics.com/eng/images/spatial-econimics/3_2014/SE.2014.3.095-110.Pavlov.pdfspatial autocorrelationglobal Moran’s indexlocal Moran’s indexclusterSamara region |
spellingShingle | Yuriy Vladimirovich Pavlov Elena Nikolaevna Koroleva Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index Prostranstvennaâ Èkonomika spatial autocorrelation global Moran’s index local Moran’s index cluster Samara region |
title | Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index |
title_full | Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index |
title_fullStr | Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index |
title_full_unstemmed | Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index |
title_short | Spatial Interactions: Evaluation with the Help of Global and Local Moran’s Index |
title_sort | spatial interactions evaluation with the help of global and local moran s index |
topic | spatial autocorrelation global Moran’s index local Moran’s index cluster Samara region |
url | http://spatial-economics.com/eng/images/spatial-econimics/3_2014/SE.2014.3.095-110.Pavlov.pdf |
work_keys_str_mv | AT yuriyvladimirovichpavlov spatialinteractionsevaluationwiththehelpofglobalandlocalmoransindex AT elenanikolaevnakoroleva spatialinteractionsevaluationwiththehelpofglobalandlocalmoransindex |