VIAF

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Leader     00000nz a2200037n 45 0
001     WKP|Q91722874  (VIAF cluster)  (Authority/Source Record)
003     WKP
005     20241221010738.0
008     241221nneanz||abbn n and d
035 ‎‡a  (WKP)Q91722874‏
024 ‎‡a  0000-0001-8735-9144‏ ‎‡2  orcid‏
035 ‎‡a  (OCoLC)Q91722874‏
100 0 ‎‡a  Martí Bosch‏ ‎‡c  researcher (ORCID 0000-0001-8735-9144)‏ ‎‡9  en‏
400 0 ‎‡a  Martí Bosch‏ ‎‡c  wetenschapper‏ ‎‡9  nl‏
670 ‎‡a  Author's DetecTree: Tree detection from aerial imagery in Python‏
670 ‎‡a  Author's Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach‏
670 ‎‡a  Author's PyLandStats: An open-source Pythonic library to compute landscape metrics‏
670 ‎‡a  Author's swisslandstats-geopy: Python tools for the land statistics datasets from the Swiss Federal Statistical Office‏
670 ‎‡a  Author's Using Open-Access Data to Explore Relations between Urban Landscapes and Diarrhoeal Diseases in Côte d’Ivoire‏
670 ‎‡a  wikidata authority control‏ ‎‡u  https://viaf.org/processed/DNB|1236285387‏
909 ‎‡a  (orcid) 0000000187359144‏ ‎‡9  1‏
919 ‎‡a  swisslandstatsgeopypythontoolsforthelandstatisticsdatasetsfromtheswissfederalstatisticaloffice‏ ‎‡A  swisslandstats-geopy: Python tools for the land statistics datasets from the Swiss Federal Statistical Office‏ ‎‡9  1‏
919 ‎‡a  usingopenaccessdatatoexplorerelationsbetweenurbanlandscapesanddiarrhoealdiseasesincote500ivoire‏ ‎‡A  Using Open-Access Data to Explore Relations between Urban Landscapes and Diarrhoeal Diseases in Côte d’Ivoire‏ ‎‡9  1‏
919 ‎‡a  detectreetreedetectionfromaerialimageryinpython‏ ‎‡A  DetecTree: Tree detection from aerial imagery in Python‏ ‎‡9  1‏
919 ‎‡a  evaluatingurbangreeningscenariosforurbanheatmitigationaspatiallyexplicitapproach‏ ‎‡A  Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach‏ ‎‡9  1‏
919 ‎‡a  pylandstatsanopensourcepythoniclibrarytocomputelandscapemetrics‏ ‎‡A  PyLandStats: An open-source Pythonic library to compute landscape metrics‏ ‎‡9  1‏
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996 ‎‡2  DNB|1309071586
996 ‎‡2  NTA|184216672
996 ‎‡2  ISNI|0000000115709686
996 ‎‡2  NTA|431160821
996 ‎‡2  NUKAT|n 2007117350
996 ‎‡2  RERO|A028550335
996 ‎‡2  LC|no2014117935
996 ‎‡2  RERO|A003018518
996 ‎‡2  SZ|1238901484
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996 ‎‡2  NUKAT|n 2022034539
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996 ‎‡2  CAOONL|ncf11680341
996 ‎‡2  ISNI|0000000393699166
996 ‎‡2  NTA|173050085
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996 ‎‡2  BNC|981058598174106706
996 ‎‡2  ISNI|0000000425568997
996 ‎‡2  ISNI|0000000449299090
996 ‎‡2  LC|n 2001112171
996 ‎‡2  ISNI|0000000005968185
996 ‎‡2  BNE|XX878454
996 ‎‡2  NII|DA01803452
996 ‎‡2  J9U|987007279687505171
996 ‎‡2  SUDOC|18846669X
996 ‎‡2  NTA|087216957
996 ‎‡2  NKC|mub2012681795
996 ‎‡2  DNB|135472075
996 ‎‡2  ISNI|0000000394949796
996 ‎‡2  DNB|132526530
996 ‎‡2  JPG|500503588
996 ‎‡2  NTA|07364479X
996 ‎‡2  J9U|987007352781205171
996 ‎‡2  DNB|1238901484
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996 ‎‡2  NTA|07282381X
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996 ‎‡2  DNB|1114753661
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996 ‎‡2  SUDOC|268112029
996 ‎‡2  NTA|202558568
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996 ‎‡2  LC|no2004117223
996 ‎‡2  ISNI|0000000038527650
996 ‎‡2  NTA|07069009X
996 ‎‡2  LC|n 88114409
997 ‎‡a  0 0 lived 0 0‏ ‎‡9  1‏