ScholarGate
Msaidizi
Regression modelGIS / spatial

Kiashirio Imara cha Vyama vya Kimaeneo (Robust LISA)

Kiashirio Imara cha Vyama vya Kimaeneo (Robust LISA) huongeza mfumo wa Anselin's LISA ili kushughulikia maadili ya nje, maadili ya kipekee, na idadi ya watu yenye mabadiliko ya kimaeneo. Kwa kutumia marekebisho yanayostahimili maadili ya nje kwenye uzani wa kimaeneo au maadili yaliyowekwa sanifu, Robust LISA hutambua kwa uhakika vitita vya kimaeneo na maadili ya nje ya kimaeneo bila upotoshaji unaosababishwa na uchunguzi wenye ushawishi mkubwa.

Fungua katika MethodMindHivi karibuniApply, compare, get guidance
Tools & resources
Pakua slaidi
Learn & explore
VideoHivi karibuni

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Ramani ya mbinu

Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.

Vyanzo

  1. Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI: 10.1111/j.1538-4632.1995.tb00338.x
  2. Assuncao, R. M., & Reis, E. A. (1999). A new proposal to adjust Moran's I for population density. Statistics in Medicine, 18(16), 2147–2162. DOI: 10.1002/(SICI)1097-0258(19990830)18:16<2147::AID-SIM179>3.0.CO;2-I

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Local Indicators of Spatial Association. ScholarGate. https://scholargate.app/sw/spatial-analysis/robust-local-indicators-of-spatial-association

Mbinu ipi?

Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.

Linganisha bega kwa bega

Imerejelewa na

ScholarGateRobust Local Indicators of Spatial Association (Robust Local Indicators of Spatial Association). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/spatial-analysis/robust-local-indicators-of-spatial-association · Seti ya data: https://doi.org/10.5281/zenodo.20539026