পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| স্পেস-টাইম গিয়ারির সি× | Space-Time Local Indicators of Spatial Association (ST-LISA)× | |
|---|---|---|
| ক্ষেত্র | স্থানিক বিশ্লেষণ | স্থানিক বিশ্লেষণ |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1954 / 2010s | 1995 (LISA); space-time extensions developed 2000s–2010s |
| প্রবর্তক≠ | Geary (1954); extended to space-time by Anselin and others | Extension of Anselin (1995) LISA framework to the space-time domain |
| ধরন≠ | Spatial autocorrelation statistic | Local spatial statistic (space-time) |
| মৌলিক উৎস≠ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115-145. DOI ↗ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| অপর নাম | ST-Geary's C, spatiotemporal Geary C, space-time contiguity ratio, space-time local spatial autocorrelation | ST-LISA, space-time LISA, spatiotemporal local indicators of spatial association, STLISA |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | Space-Time Geary's C extends the classical Geary contiguity ratio to panel or longitudinal spatial data, measuring autocorrelation across both geographic neighbors and adjacent time periods simultaneously. Values below 1 indicate positive space-time clustering; values above 1 indicate dispersion, and a value near 1 suggests random arrangement across the space-time lattice. | Space-Time Local Indicators of Spatial Association (ST-LISA) extend the classic LISA framework of Anselin (1995) into the temporal dimension, identifying locations that exhibit statistically significant spatial clustering or spatial outlier behavior consistently or intermittently across multiple time periods. They decompose global space-time autocorrelation into local contributions, revealing where and when spatial clusters emerge, persist, or dissolve. |
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