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مؤشرات الارتباط المكاني المحلية للبيانات المقطعية (Panel LISA)×الارتباط المكاني في البيانات المقطعية الزمنية×
المجالالتحليل المكانيالتحليل المكاني
العائلةRegression modelRegression model
سنة النشأة1995 (LISA); panel extension 2000s–2010s1988–2003
صاحب الطريقةAnselin (1995), panel extension developed through spatial econometrics literatureAnselin, L.; Elhorst, J. P.
النوعLocal spatial autocorrelation statisticDiagnostic test / exploratory statistic
المصدر التأسيسيAnselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (2013). Spatial Econometrics: Methods and Models. Springer Netherlands. (Originally published 1988.) ISBN: 978-9401577991
الأسماء البديلةPanel LISA, spatiotemporal LISA, panel local spatial autocorrelation, LISA panel extensionspatial autocorrelation in panel data, panel spatial dependence, spatio-temporal autocorrelation, cross-sectional dependence in panels
ذات صلة45
الملخصPanel Local Indicators of Spatial Association extends Anselin's LISA statistics — most commonly Local Moran's I — to panel datasets, identifying spatial clusters and outliers at each location across multiple time periods. By applying local autocorrelation measures repeatedly over time, researchers can detect whether spatial concentration patterns emerge, persist, or dissolve, giving a richer spatiotemporal picture than a single cross-section allows.Panel Spatial Autocorrelation measures whether observations that are geographically close also tend to have similar values across repeated time periods. It extends classic cross-sectional spatial autocorrelation statistics such as Moran's I to panel data, enabling researchers to detect spatial dependence consistently over time and to diagnose whether a panel regression model requires a spatial component.
ScholarGateمجموعة البيانات
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  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Panel Local Indicators of Spatial Association · Panel Spatial Autocorrelation. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare