Hot Spot Analysis

Hot Spot Analysis is a spatial data analysis technique that identifies statistically significant clusters of high or low values in geographic phenomena, distinguishing itself from other spatial methods by focusing on the detection of localized areas of elevated incidence or intensity.

801

Publications

52.8K

Citations

2.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

328

Authors

2.6K

  1. BY
    Bei Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    11 publications · 549 citations

    11

    h-index

  2. IS
    Imas Sukaesih Sitanggang

    IPB University, Indonesia

    15 publications · 378 citations

    11

    h-index

  3. DZ
    David Z. Pan

    The University of Texas at Austin, United States

    7 publications · 421 citations

    7

    h-index

  4. XZ
    Xuan Zeng

    Fudan University, China

    7 publications · 228 citations

    7

    h-index

  5. EE
    Emre Eftelioglu

    University of Minnesota, United States

    6 publications · 333 citations

    6

    h-index

1–5 of 2.6K

Venues

  1. Accident Analysis & Prevention

    17 publications · 2.1K citations

    15

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 15 publications · 743 citations

    12

    h-index

  3. 10

    h-index

  4. 9

    h-index

  5. Nature

    8 publications · 432 citations

    8

    h-index

1–5