FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3021689489> ?p ?o ?g. }

• W3021689489 endingPage "100636" @default.
• W3021689489 startingPage "100636" @default.
• W3021689489 abstract "Extreme heat events have been associated with excess morbidity and mortality worldwide. Previous research mainly evaluated extreme heat exposures at the municipal and local scales, but individuals are exposed in much smaller areas. The goal of this study was to assess whether land use regression (LUR) models could be developed for air temperature using measurements collected by a pedestrian. Microscale air temperature (<100 m) was measured during 42 sampling runs across 20 routes in greater Vancouver, Canada. Six independent variables were considered as potential predictors for LUR model construction for each run and for greater Vancouver as a whole. All models were evaluated using a spatial leave-ten-out cross-validation (LTOCV) approach. The most predictive LUR variables were Distance to Large Water Body, Distance to Major Road, Normalized Difference Water Index (NDWI), and Sky-View Factor (SVF). On average, the best individual route models explained 39% of the variation in microscale air temperatures for the 20 routes. The overall model explained only 10% of the variation in the 20 combined routes. Mobile air temperatures were associated with geographic and built environment features at the microscale. The collected data were used to build moderately predictive LUR models for some locations, but could not be used to successfully model the entire study area." @default.
• W3021689489 created "2020-05-13" @default.
• W3021689489 creator A5004242756 @default.
• W3021689489 creator A5038407278 @default.
• W3021689489 creator A5047066275 @default.
• W3021689489 creator A5056748414 @default.
• W3021689489 creator A5082018855 @default.
• W3021689489 date "2020-06-01" @default.
• W3021689489 modified "2023-10-13" @default.
• W3021689489 title "Land use regression modeling of microscale urban air temperatures in greater Vancouver, Canada" @default.
• W3021689489 cites W1031755323 @default.
• W3021689489 cites W1573565034 @default.
• W3021689489 cites W1795468129 @default.
• W3021689489 cites W1955882479 @default.
• W3021689489 cites W1967921852 @default.
• W3021689489 cites W1977286958 @default.
• W3021689489 cites W1978617972 @default.
• W3021689489 cites W1980691317 @default.
• W3021689489 cites W1991350060 @default.
• W3021689489 cites W1995391746 @default.
• W3021689489 cites W1995415732 @default.
• W3021689489 cites W1996534964 @default.
• W3021689489 cites W2001451992 @default.
• W3021689489 cites W2002685456 @default.
• W3021689489 cites W2003207330 @default.
• W3021689489 cites W2004800413 @default.
• W3021689489 cites W2006530584 @default.
• W3021689489 cites W2018163508 @default.
• W3021689489 cites W2021031569 @default.
• W3021689489 cites W2021975386 @default.
• W3021689489 cites W2028292918 @default.
• W3021689489 cites W2037920372 @default.
• W3021689489 cites W2044230435 @default.
• W3021689489 cites W2046970602 @default.
• W3021689489 cites W2062727673 @default.
• W3021689489 cites W2064951735 @default.
• W3021689489 cites W2066286996 @default.
• W3021689489 cites W2067813945 @default.
• W3021689489 cites W2072071831 @default.
• W3021689489 cites W2075784877 @default.
• W3021689489 cites W2083028730 @default.
• W3021689489 cites W2084554826 @default.
• W3021689489 cites W2084979499 @default.
• W3021689489 cites W2091489165 @default.
• W3021689489 cites W2106784657 @default.
• W3021689489 cites W2109424626 @default.
• W3021689489 cites W2117422131 @default.
• W3021689489 cites W2126859732 @default.
• W3021689489 cites W2130747753 @default.
• W3021689489 cites W2130989950 @default.
• W3021689489 cites W2136915828 @default.
• W3021689489 cites W2140866601 @default.
• W3021689489 cites W2146137309 @default.
• W3021689489 cites W2156644521 @default.
• W3021689489 cites W2158512214 @default.
• W3021689489 cites W2163308097 @default.
• W3021689489 cites W2168824794 @default.
• W3021689489 cites W2198515906 @default.
• W3021689489 cites W2316634239 @default.
• W3021689489 cites W2325282659 @default.
• W3021689489 cites W2473872738 @default.
• W3021689489 cites W2474445233 @default.
• W3021689489 cites W2511073376 @default.
• W3021689489 cites W2554648915 @default.
• W3021689489 cites W2555180689 @default.
• W3021689489 cites W2754984931 @default.
• W3021689489 cites W2909541131 @default.
• W3021689489 doi "https://doi.org/10.1016/j.uclim.2020.100636" @default.
• W3021689489 hasPublicationYear "2020" @default.
• W3021689489 type Work @default.
• W3021689489 sameAs 3021689489 @default.
• W3021689489 citedByCount "8" @default.
• W3021689489 countsByYear W30216894892021 @default.
• W3021689489 countsByYear W30216894892022 @default.
• W3021689489 countsByYear W30216894892023 @default.
• W3021689489 crossrefType "journal-article" @default.
• W3021689489 hasAuthorship W3021689489A5004242756 @default.
• W3021689489 hasAuthorship W3021689489A5038407278 @default.
• W3021689489 hasAuthorship W3021689489A5047066275 @default.
• W3021689489 hasAuthorship W3021689489A5056748414 @default.
• W3021689489 hasAuthorship W3021689489A5082018855 @default.
• W3021689489 hasConcept C100970517 @default.
• W3021689489 hasConcept C105795698 @default.
• W3021689489 hasConcept C106131492 @default.
• W3021689489 hasConcept C127313418 @default.
• W3021689489 hasConcept C136764020 @default.
• W3021689489 hasConcept C140779682 @default.
• W3021689489 hasConcept C145420912 @default.
• W3021689489 hasConcept C152877465 @default.
• W3021689489 hasConcept C153294291 @default.
• W3021689489 hasConcept C179428855 @default.
• W3021689489 hasConcept C205649164 @default.
• W3021689489 hasConcept C2777382242 @default.
• W3021689489 hasConcept C2983363897 @default.
• W3021689489 hasConcept C31972630 @default.
• W3021689489 hasConcept C33923547 @default.
• W3021689489 hasConcept C39432304 @default.
• W3021689489 hasConcept C41008148 @default.

• next