Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Dean M. Hanink"'
Autor:
Law, C.M.
Publikováno v:
Geography, 1998 Jan 01. 83(1), 92-92.
Externí odkaz:
https://www.jstor.org/stable/40573029
Autor:
Ilbery, Brian W.
Publikováno v:
The Geographical Journal, 1999 Mar 01. 165(1), 101-102.
Externí odkaz:
https://www.jstor.org/stable/3060517
Publikováno v:
Data in Brief, Vol 12, Iss C, Pp 175-179 (2017)
Google Street View (GSV) was used for urban land use classification, together with airborne light detection and ranging (LiDAR) data and high resolution orthoimagery, by a parcel-based method. In this data article, we present the input raw GSV images
Externí odkaz:
https://doaj.org/article/72fa95b957214b42b852289d7f832b07
Publikováno v:
The Professional Geographer. 74:715-726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6725f747b79523bdd368ab1cf8b17b3e
https://doi.org/10.1080/00330124.2022.2048866
https://doi.org/10.1080/00330124.2022.2048866
Publikováno v:
The Professional Geographer. 74:79-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e078c4b4cb8b8f355ebba1089977f37
https://doi.org/10.1080/00330124.2021.1970590
https://doi.org/10.1080/00330124.2021.1970590
Autor:
Piper Gaubatz, Dean M. Hanink
Publikováno v:
Geography and Sustainability, Vol 1, Iss 2, Pp 118-126 (2020)
This essay considers China's emerging role as a “laboratory” for innovation in achieving urban sustainability. Its purpose is to highlight, in the context of the Sino-American Symposium on Future Issues Affecting Quality of Life, aspects of Chine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f14fad40991df4a1fb33f9573f9724c3
http://www.sciencedirect.com/science/article/pii/S2666683920300274
http://www.sciencedirect.com/science/article/pii/S2666683920300274
Publikováno v:
Landscape and Urban Planning. 177:114-127
A recently proposed method based on the spectral similarity-enhanced Markov chain random field cosimulation (SS-coMCRF) model has provided a practical approach for estimating both horizontal and vertical urban expansion of megacities using Landsat im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f74488055d7e1006d0bd3e6afc2edc8e
https://doi.org/10.1016/j.landurbplan.2018.04.010
https://doi.org/10.1016/j.landurbplan.2018.04.010
Autor:
Dean M. Hanink, Qinglin Hu
Publikováno v:
The Professional Geographer. 70:453-462
We focus on the association between the institutional factor of union contract coverage rates among workers and the variation in income inequality across a set of sixty-four metropolitan areas of t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e59968d863329e129be13f1bfbf62737
https://doi.org/10.1080/00330124.2017.1416298
https://doi.org/10.1080/00330124.2017.1416298
Publikováno v:
Computers, Environment and Urban Systems. 64:215-228
Urban land use information is increasingly important for a variety of purposes. With their increasing coverage and availability, airborne light detection and ranging (LiDAR) data, high resolution orthoimagery (HRO), and Google Street View (GSV) image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d3cef2489fcc3e6802db1eac1f2a9b3
https://doi.org/10.1016/j.compenvurbsys.2017.03.001
https://doi.org/10.1016/j.compenvurbsys.2017.03.001
Publikováno v:
Data in Brief
Data in Brief, Vol 12, Iss C, Pp 175-179 (2017)
Data in Brief, Vol 12, Iss C, Pp 175-179 (2017)
Google Street View (GSV) was used for urban land use classification, together with airborne light detection and ranging (LiDAR) data and high resolution orthoimagery, by a parcel-based method. In this data article, we present the input raw GSV images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a5074f5725420a4d32ba6cfa0567ee9
http://europepmc.org/articles/PMC5397128
http://europepmc.org/articles/PMC5397128