Regression modelGIS / spatial

Procjena gustoće kernelom u prostoru i vremenu (ST-KDE)

Procjena gustoće kernelom u prostoru i vremenu (ST-KDE) proširuje klasičnu KDE na tri dimenzije — dvije prostorne i jednu vremensku — kako bi se otkrilo kako se intenzitet točkastih događaja (zločini, nesreće, slučajevi bolesti) neprekidno mijenja kroz geografski prostor i vrijeme. Proizvodi glatku probabilističku površinu koja ističe gdje i kada se događaji najintenzivnije koncentriraju.

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Izvori

  1. Nakaya, T., & Yano, K. (2010). Visualising crime clusters in a space-time cube: An exploratory data-analysis approach using space-time kernel density estimation and scan statistics. Transactions in GIS, 14(3), 223-239. DOI: 10.1111/j.1467-9671.2010.01194.x
  2. Kernel density estimation. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Space-Time Kernel Density Estimation. ScholarGate. https://scholargate.app/hr/spatial-analysis/space-time-kernel-density-estimation

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Citirana u

ScholarGateSpace-Time Kernel Density Estimation (Space-Time Kernel Density Estimation). Preuzeto 2026-06-15 s https://scholargate.app/hr/spatial-analysis/space-time-kernel-density-estimation · Skup podataka: https://doi.org/10.5281/zenodo.20539026