.SHP
change.shp (0.61 kB)
.SHX
change.shx (0.11 kB)
.DBF
change.dbf (0.14 kB)
TEXT
change.prj (0.39 kB)
TEXT
data_extraction.nb.html (657.82 kB)
TEXT
gamms.nb.html (982.57 kB)
.DBF
nonurban.dbf (0.14 kB)
TEXT
nonurban.prj (0.39 kB)
.SHP
nonurban.shp (0.23 kB)
.SHX
nonurban.shx (0.11 kB)
TEXT
RMA.nb.html (685.55 kB)
DATASET
informal_covars.csv (78.44 kB)
DATASET
insitu_temp.csv (12.42 kB)
IMAGE
Makassar_urban_lc_change.tif (385.29 kB)
.DBF
urban.dbf (0.14 kB)
TEXT
urban.prj (0.39 kB)
.SHP
urban.shp (0.72 kB)
.SHX
urban.shx (0.11 kB)
DATASET
urban_change.csv (36.24 kB)
DATASET
sample_count.csv (2.21 kB)
1/0
Spatio-temporal development of the urban heat island in a socioeconomically diverse tropical city
dataset
posted on 2022-10-05, 09:58 authored by Emma RamsayEmma Ramsay, Grant DuffyGrant Duffy, Steven ChownSteven Chown, Genie M. Fleming, Ruzka Taruc, Peter FaberPeter Faber, Kerrie BurgeData and code required to complete urban heat island analyses.
Code:
data_extraction - gives examples of how to process and extract surface temperature from Landsat data (freely available from USGS).
gamms - code to run all urban heat island statistical analyses and corresponding figures.
RMA - ranged major axis regression analyses to compare satellite surface temperature and in situ ambient temperature
Data:
Urban, change, and non-urban shapefiles show spatial regions defined for analysis.
Data csvs required for running code detailed above.
Makassar_urban_lc_change.tif is a raster showing the year a pixel was first detected as urban based on 11 supervised land cover classifications.
