Exploring Spatial Non‐Stationarity and Varying Relationships between Crash Data and Related Factors Using Geographically Weighted Poisson Regression

Publisher： John Wiley & Sons Inc

E-ISSN： 1467-9671|19|2|321-337

ISSN： 1361-1682

Source： TRANSACTIONS IN GIS (ELECTRONIC), Vol.19, Iss.2, 2015-04, pp. : 321-337

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models

By  

TRANSACTIONS IN GIS (ELECTRONIC), Vol. 21, Iss. 6, 2017-12 ,pp. : 1280-1297

John Wiley & Sons Inc

Access to resources Recommend Favorite

Determination of non‐stationarity in the surface layer during the T‐REX experiment

By  

THE QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, Vol. 141, Iss. 690, 2015-07 ,pp. : 1560-1571

John Wiley & Sons Inc

Access to resources Recommend Favorite

Evidence of non‐stationarity in a local climatology of rainfall extremes in northern Italy

By  

INTERNATIONAL JOURNAL OF CLIMATOLOGY, Vol. 38, Iss. 1, 2018-01 ,pp. : 506-516

John Wiley & Sons Inc

Access to resources Recommend Favorite

Spatial relationship between clay content and geophysical data

By De Benedetto D.   Castrignanò A.   Sollitto D.   Modugno F.  

Clay Minerals, Vol. 45, Iss. 2, 2010-06 ,pp. : 197-207

Mineralogical Society

Access to resources Recommend Favorite

Forecasting Groundwater Temperature with Linear Regression Models Using Historical Data

By  

GROUND WATER, Vol. 53, Iss. 6, 2015-11 ,pp. : 943-954

John Wiley & Sons Inc

Access to resources Recommend Favorite