Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Dean M. Hanink"'
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
Publikováno v:
The Professional Geographer. 74:79-87
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
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
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...
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
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
Autor:
Joseph J. Danko, Dean M. Hanink
Publikováno v:
Journal of Urban Design. 22:347-369
Monitoring neighbourhood change associated with a redevelopment is important for policy-makers, business leaders and residents. It helps evaluate public policy and changes in the needs of residents and businesses. However, using raw data (e.g. census
Publikováno v:
International Journal of Geographical Information Science. 31:849-866
Isopleth maps depict different types of standardized data densities, general ratios/rates, and proportions/percentages. In this study, we describe different paths each type of standardized data takes to construct isoplethic surfaces in a cartographic