Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
ESSD | Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1083–1098, 2019
https://doi.org/10.5194/essd-11-1083-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 1083–1098, 2019
https://doi.org/10.5194/essd-11-1083-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Peer-reviewed comment 22 Jul 2019

Peer-reviewed comment | 22 Jul 2019

New 30 m resolution Hong Kong climate, vegetation, and topography rasters indicate greater spatial variation than global grids within an urban mosaic

Brett Morgan and Benoit Guénard
Data sets

Hong Kong climate, vegetation, and topography rasters B. Morgan and B. Guénard https://doi.org/10.6084/m9.figshare.6791276

Download
Short summary
Hong Kong is poised to become a model region for understanding the effects of urbanization, biotic invasions, and protected areas in the tropics. However, until now there have been few suitable GIS layers to address these issues on a landscape scale. This set of 30 m resolution vegetation, topography, and interpolated climate rasters will enable a new generation of spatial studies in Hong Kong. Compared to global datasets, these local models consistently indicate greater climatic heterogeneity.
Hong Kong is poised to become a model region for understanding the effects of urbanization,...
Citation