Wavelet-based Spatial Analysis

Wavelet-Based Spatial Analysis is a multiscale spatial analysis method that uses wavelet transforms to decompose spatial data into localized, frequency-specific components, enabling the detection and characterization of spatial patterns and heterogeneity across varying scales.

136

Publications

7.8K

Citations

392

Authors

206

Institutions

Publications per year

2017–2026

24

Authors

392

  1. RM
    R. M. Lark

    Rothamsted Research, United Kingdom

    8 publications · 321 citations

    8

    h-index

  2. MJ
    Michael J. Falkowski

    University of Idaho, United States

    3 publications · 329 citations

    3

    h-index

  3. RW
    R. Webster

    Rothamsted Research, United Kingdom

    3 publications · 218 citations

    3

    h-index

  4. LA
    Lee A. Vierling

    University of Idaho, United States

    3 publications · 329 citations

    3

    h-index

  5. DV
    Dimitri Van De Ville

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 116 citations

    3

    h-index

1–5 of 392

Venues

  1. European Journal of Soil Science

    7 publications · 275 citations

    7

    h-index

  2. Journal of Hydrology

    6 publications · 431 citations

    6

    h-index

  3. Geophysical Research Letters

    4 publications · 131 citations

    4

    h-index

  4. NeuroImage

    3 publications · 144 citations

    3

    h-index

  5. Geoscientific model development

    3 publications · 56 citations

    3

    h-index

1–5