Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Thi Hong Diep Dao"'
Publikováno v:
Urban Science, Vol 8, Iss 3, p 81 (2024)
We harnessed the analytical power of geospatial analysis and modeling techniques, pioneering a novel approach to studying the spatial distribution of households with at least one senior aged 65 or over, known as senior households (SHHs). We developed
Externí odkaz:
https://doaj.org/article/3f4b083895dd42c4ba3061810cb11132
Autor:
Thi Hong Diep Dao, Jean-Claude Thill
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 9, p 467 (2022)
In this paper, we take the position that cities gain to be represented as three-dimensional spaces populated by scores of micro-scale-built spaces (buildings, rooms, passageways, squares, etc.). Effective algorithms that evaluate place-based accessib
Externí odkaz:
https://doaj.org/article/2e26c9d4a4af47beab1fc81fe8a5e1a7
Autor:
David G. Havlick, Thi Hong Diep Dao
Publikováno v:
Transactions of the Institute of British Geographers.
Autor:
Jean-Claude Thill, Thi Hong Diep Dao
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 11; Issue 9; Pages: 467
In this paper, we take the position that cities gain to be represented as three-dimensional spaces populated by scores of micro-scale-built spaces (buildings, rooms, passageways, squares, etc.). Effective algorithms that evaluate place-based accessib
Publikováno v:
Computers, Environment and Urban Systems. 101:101941
Publikováno v:
Transactions in GIS. 23:515-537
Autor:
Jean-Claude Thill, Thi Hong Diep Dao
Publikováno v:
Social Science Research. 101:102618
This paper focuses on advancing the traditional association rule mining (ARM) approach to capture the rich, multidimensional and multiscalar context that is anticipated to be associated with residential Motor Vehicle Theft (MVT) across urban environm
Autor:
Jean-Claude Thill, Thi Hong Diep Dao
Publikováno v:
Transactions in GIS. 22:288-310
Autor:
Thi Hong Diep Dao, Jean-Claude Thill
Publikováno v:
Geographical Analysis. 48:248-274
Recent research has identified spatial association rule (SAR) mining as a promising technique for geographic pattern mining and knowledge discovery. Nevertheless, important spatial components embedded in the studied phenomenon, in particular complex
Publikováno v:
Computers, Environment and Urban Systems. 50:15-29
Indoor environments are challenging spaces to handle in location analysis and Geographic Information Science. In this paper, new techniques to visualize solutions of location models used for the optimal indoor placement of emergency devices are propo