GreenspacePerception data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?"
DOI:10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325.v3
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325
DOI: 10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325
Datacite citation style
Teeuwen, Roos; Milias, Vasileios; Bozzon, A. (Alessandro); Psyllidis, Achilleas (2024): GreenspacePerception data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?". Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
434
views
3299
downloads
Categories
Geolocation
Barcelona; Rotterdam; Gothenburg
Time coverage 2023
Licence CC BY 4.0
Interoperability
Data on people's perceptions, vegetation index (NDVI), land use land cover class (OpenStreetMap), street view panorama metadata (Google Street View) of urban places in three cities in Europe: Barcelona, Rotterdam, and Gothenburg. The data on people's perceptions of places is pseudonymized. It includes people's ratings and corresponding reasons for how green places are, and how usable for 5 activity-types. It also includes NDVI and OpenStreetMap data around the corresponding places, collected using various radius distances. Please consult the associated scientific paper for further details.
History
- 2024-01-24 first online
- 2024-08-22 published, posted
Publisher
4TU.ResearchDataFormat
Geotiff (.tif); GeoJSON (.geojson); Text (.txt); Graph (.graphml); Excel (.xlsx); Geopackage (.gpkg); Shapefile (.shp)Associated peer-reviewed publication
How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?Funding
- Early Environmental quality and life-course mental health effects (grant code 874724) [more info...] European Commission
Organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centred Artificial IntelligenceDATA
Files (79)
- 15,007 bytesMD5:
416e32697bcf22a2f68a19b8939e3be633719.xlsx - 21,305 bytesMD5:
d3f13670b180ad3bdc96d32cf6c270ed33719_Barcelona_Jan2022.xlsx - 7,855,950 bytesMD5:
4cc7d022920681bc5d602872b40b6df3buurt_2022_v1.dbf - 427 bytesMD5:
cb3e648c38fd75188df5ea80c1924386buurt_2022_v1.prj - 138,596 bytesMD5:
bbd6a3101deceffa8a9ea1195a5e304abuurt_2022_v1.sbn - 7,340 bytesMD5:
54e994333d934b47a6610d38ee55ca1dbuurt_2022_v1.sbx - 78,558,412 bytesMD5:
ff28e017228a8c29fc7fcdba89949aeabuurt_2022_v1.shp - 685 bytesMD5:
ce59e71a4d4b9904381b9608d72349b6buurt_2022_v1.shp.xml - 115,396 bytesMD5:
50dd75ba8e2c1f8529a98d6b63170d0fbuurt_2022_v1.shx - 47,908 bytesMD5:
911cde66891ca043d73ee46e15e79271city_perc_locations_Barcelona.txt - 45,803 bytesMD5:
ede24f1b2ff1ac1b3905832c38f90f01city_perc_locations_Goteborg.txt - 45,913 bytesMD5:
ebefbf7798f0f0e4c243d38cc8963ea6city_perc_locations_Rotterdam.txt - 47,280,128 bytesMD5:
ebed037eed61262c786644db31695efcDeSO_2018_v2.gpkg - 15,535 bytesMD5:
86f12471a55c30434a139e895923074adeso_poulation_2021.xlsx - 157,073,338 bytesMD5:
589e88053770063cb433975e42a9ef92G.graphml - 71,702,848 bytesMD5:
df34ed1fccf69197991eea4b188f5328G.graphml - 134,183,622 bytesMD5:
392409a60e98f056432c1ff31019b72bG.graphml - 114 bytesMD5:
bd1c75fe8b43c253df4d0f17a2a8d147GHS_SMOD_E2020_GLOBE_R2022A_54009_1000_V1_0_R3_C19.clr - 111,384 bytesMD5:
6bfa4b31bd9fce4f531a337fde6ef15bGHS_SMOD_E2020_GLOBE_R2022A_54009_1000_V1_0_R3_C19.tif - 114 bytesMD5:
bd1c75fe8b43c253df4d0f17a2a8d147GHS_SMOD_E2020_GLOBE_R2022A_54009_1000_V1_0_R5_C19.clr - 87,526 bytesMD5:
63e48d82ec7083cab4e30177b8172f02GHS_SMOD_E2020_GLOBE_R2022A_54009_1000_V1_0_R5_C19.tif - 1,444,801 bytesMD5:
5747fe8a4d88e0e78be62dcdc33d8e07GHSL_Data_Package_2022_light.pdf - 1,444,801 bytesMD5:
5747fe8a4d88e0e78be62dcdc33d8e07GHSL_Data_Package_2022_light.pdf - 10,122,103 bytesMD5:
c8d7876556cb12e8baa9d1bbb3b82113greenspaces.geojson - 2,780,256 bytesMD5:
a89763cfcb4d79bbe24d634f3034e57agreenspaces.geojson - 3,045,182 bytesMD5:
09d8f5b5761d101a2a4ae027172a5b3agreenspaces.geojson - 16,638,189 bytesMD5:
6ec729d076e689dc048bc1827b4c3b27NDVI cloudless Barcelona 10mres.tif - 180,433,877 bytesMD5:
ca0748d31450e2ef46578e75e1c2d461NDVI cloudless Goteborg 10mres.tif - 17,135,321 bytesMD5:
da3108c237b343c4b103084d372958f2NDVI cloudless Rotterdam 10mres.tif - 837,681 bytesMD5:
d7bbae2679ebb848bae6b75ffaac30cfparkings.geojson - 1,561,439 bytesMD5:
517b80500592594140819147d81b48cdparkings.geojson - 237,349 bytesMD5:
42a1397febb724a66463fda486ba04f8parkings.geojson - 275,642 bytesMD5:
5cbc12c5da51486aa85302586b015734parkings_enriched.geojson - 1,122,003 bytesMD5:
a6e3e0bfd837631ad2fb9c84326e10b4parkings_enriched.geojson - 1,581,265 bytesMD5:
44dd1c35d435bc6a63847af93bf89e10parkings_enriched.geojson - 268,793 bytesMD5:
477f77590f40e2bee812830024b2cbdaparks.geojson - 270,464 bytesMD5:
776b291cf1a65a74684efaba8dd273f6parks.geojson - 715,831 bytesMD5:
2e450b101d2aa872c0f8394583f28817parks.geojson - 198,696 bytesMD5:
ae71c509c3120480048c7d12a2b9a3acplace.geojson - 34,409 bytesMD5:
30722ae1edfd4617d1e7c54b17afd105place.geojson - 95,975 bytesMD5:
161c4163bd97305fc25eced27d4fcd69place.geojson - 171,383 bytesMD5:
cde72a69182e26556759d185755c3be6playspaces.geojson - 418,305 bytesMD5:
75ca12181c06b83d602af17d19286964playspaces.geojson - 105,466 bytesMD5:
d7a294243ff9fb91a2ba0f94fc81b670playspaces.geojson - 500,916 bytesMD5:
7426f713d6a620e098ac25ffcae77e28playspaces_enriched.geojson - 238,658 bytesMD5:
e5b5252af3cdb5e4b4252de935321880playspaces_enriched.geojson - 149,056 bytesMD5:
9edfcd4b47b932b96cf780b9a2e026aaplayspaces_enriched.geojson - 430,201 bytesMD5:
8426c509794b9ce856b78e68cf9d3904pocket_greenspaces_enriched.geojson - 264,242 bytesMD5:
28f7910da8853f219f600eb191c5bb40pocket_greenspaces_enriched.geojson - 470,954 bytesMD5:
da98c4f19bde6ade6e3327bfa4edd991pocket_greenspaces_enriched.geojson - 46,577 bytesMD5:
6917394c77f7623b2d73154a56a3c44fpopulation_barcelona_2022.xlsx - 45,972 bytesMD5:
eb848f5763cf2a288b914e92be0d3dcbpopulation_barcelona_2022_preprocessed.xlsx - 3,068,452 bytesMD5:
b267ffaabb060b3e4726e1b61bc8a158pseudonymized perceptions.zip - 1,163,958 bytesMD5:
6ae105d3e65bce077d8c0764e3aa0bc8regular_greenspaces_enriched.geojson - 1,323,460 bytesMD5:
66945c24b9e3a13a4bc044abbeb5edb8regular_greenspaces_enriched.geojson - 4,767,233 bytesMD5:
fdaa34787dcf75cff72db720ddf23f12regular_greenspaces_enriched.geojson - 477,841 bytesMD5:
6c7137c74cf40122277d129d3b696400sampled.geojson - 481,791 bytesMD5:
36c43599347583f7bcc54d96755d0f4bsampled.geojson - 591,060 bytesMD5:
2a74991e54c9e97dd94eb403eaf3fbaesampled.geojson - 5 bytesMD5:
ae3b3df9970b49b6523e608759bc957dSECC_CE_20220101.CPG - 7,095,036 bytesMD5:
0ac9dcca78a9e9417b09cf7ad53d8a9cSECC_CE_20220101.dbf - 404 bytesMD5:
0784894c9b39bd085304bfa88a3ea2a6SECC_CE_20220101.prj - 366,564 bytesMD5:
21d048a97cfff30c6befc80869047338SECC_CE_20220101.sbn - 10,124 bytesMD5:
6516d6af49185a718674a6ab4794076aSECC_CE_20220101.sbx - 110,908,396 bytesMD5:
3ac2cdb1c781cc786c7b9f0eb87cc55cSECC_CE_20220101.shp - 64,008 bytesMD5:
a22ab4f25a556835d16fef4d4268bb48SECC_CE_20220101.shp.xml - 291,156 bytesMD5:
a9954f888a43839aa146ddbd08260c30SECC_CE_20220101.shx - 353,733 bytesMD5:
4cf41d91edd42b69d1251a61982187a6squares.geojson - 170,139 bytesMD5:
d83113abbc716b4511897c06b431c52asquares.geojson - 1,597,214 bytesMD5:
8b8e08da936fe13991cf77bb654441casquares.geojson - 1,974,578 bytesMD5:
f282ddf5df096b97a718775096688df4squares_enriched.geojson - 206,247 bytesMD5:
203b88843f2c6366d027423840ce25ccsquares_enriched.geojson - 427,969 bytesMD5:
9e14a5da58556a238d1828dcce8fc889squares_enriched.geojson - 101,589,639 bytesMD5:
0691a5c63e19c27f14198d9cbaafb555streets.geojson - 44,158,189 bytesMD5:
045ca407ec1a1475a2808181974547f0streets.geojson - 87,301,178 bytesMD5:
4c54e5e608c05c28714f57de7cebd0adstreets.geojson - 6,193,639 bytesMD5:
ff8dfeec82050f30620cc546895aed6estreets_enriched.geojson - 4,952,818 bytesMD5:
6dee15f90c5288e1ff24fb50158ac6d5streets_enriched.geojson - 5,558,110 bytesMD5:
870f44907a75eef72deb67d10767ff06streets_enriched.geojson -
download all files (zip)
1,125,486,099 bytes unzipped
