Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Taylor M. Oshan"'
Publikováno v:
International Journal of Health Geographics, Vol 19, Iss 1, Pp 1-17 (2020)
Abstract Background Obesity rates are recognized to be at epidemic levels throughout much of the world, posing significant threats to both the health and financial security of many nations. The causes of obesity can vary but are often complex and mul
Externí odkaz:
https://doaj.org/article/8837e207b862454ca361f289db780be4
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 6, p 269 (2019)
Geographically weighted regression (GWR) is a spatial statistical technique that recognizes that traditional ‘global’ regression models may be limited when spatial processes vary with spatial context. GWR captures process spatial heterogeneity by
Externí odkaz:
https://doaj.org/article/59886732b9f44e1ca2609c43067db533
Autor:
Taylor M. Oshan, Levi John Wolf, Mehak Sachdeva, Sarah Bardin, Alexander Stewart Fotheringham
Publikováno v:
Journal of Geographical Systems. 24:293-324
Scale is a central concept in the geographical sciences and is an intrinsic property of many spatial systems. It also serves as an essential thread in the fabric of many other physical and social sciences, which has contributed to the use of differen
Publikováno v:
Geographical Analysis. 54:752-768
Models designed to capture spatially varying processes are now employed extensively in the social and environmental sciences. The main strength of such models is their ability to represent relationships that vary across locations through locally vary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db438d32950b2572fbe36cc934833f2a
https://eprints.gla.ac.uk/266763/1/266763.pdf
https://eprints.gla.ac.uk/266763/1/266763.pdf
Autor:
Renan Xavier Cortes, Taylor M. Oshan, Stefanie Lumnitz, Elijah Knaap, Ziqi Li, Pedro Amaral, Wei Kang, Sergio J. Rey, James Gaboardi, Luc Anselin, Dani Arribas-Bel, Hu Shao, Levi John Wolf
Publikováno v:
Geographical Analysis. 54:467-487
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, method
Autor:
Taylor M. Oshan
This chapter introduces the concept of local versus global models and describes one type of local model, Geographically Weighted Regression, and its recent successor, Multiscale Geographically Weighted Regression. The conceptual basis for this type o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31600ae0f51b7aad3382d2df4d4d6008
https://doi.org/10.31219/osf.io/hpbd8
https://doi.org/10.31219/osf.io/hpbd8
Autor:
Taylor M. Oshan
The concept of spatial interaction (SI) encapsulates the domain of human activities that occurbetween a set of locations embedded within geographical space. Data about such processes are essential for studying a wide spectrum of geographic phenomena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8ba2ed4d40b6dd468458e00b7f876aa
https://doi.org/10.31219/osf.io/m3ah8
https://doi.org/10.31219/osf.io/m3ah8
Autor:
Taylor M. Oshan
The development of ‘route maps’ for spatial analytical methods is a pursuit with important ramifications. Comber et al. (2022) propose a route map to guide applications of geographically weighted regression (GWR) consisting of a 3-step primary pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d00b086d8411e2fec91b6438b214513e
https://doi.org/10.31219/osf.io/rckzj
https://doi.org/10.31219/osf.io/rckzj
Autor:
Zheng Liu, Taylor M. Oshan
Comparing spatial interaction models and flow interpolation techniques for predicting 'cold start' bike-share trip demand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc522f89be515109c7f9381adb529d3
https://doi.org/10.31219/osf.io/epja6
https://doi.org/10.31219/osf.io/epja6