… regardless of the network structure, which is especially useful in spatial economics where … to different empirical contexts. For example, whereas the particular geography of a space is …
… study to account for both interdependencies amongst decision makers in spatial-attitudinal space and dynamics of self-selection due to inherent … Discretechoice with social interactions …
… The first focuses on the theoretical and empirical framework of spatialnetwork analysis, described … In general, modeling a spatialnetwork in multilayer terms is interdependent to the …
K Kerkman, K Martens, H Meurs - Journal of Transport Geography, 2017 - Elsevier
… The aim of this paper is to empirically demonstrate the importance of accounting for … the importance of accounting for spatialinterdependence in the specification of transport models. For …
J Glückler, P Doreian - Journal of Economic Geography, 2016 - academic.oup.com
… -level network analysis. Moreover, these methods offer new ways of theorizing the organization and evolution of the space … between economic geography and socialnetwork studies. …
JA Elkink, TU Grund - International Studies Quarterly, 2022 - academic.oup.com
… interdependence between units is explicitly modeled and the parameters for the level of spatialinterdependence … previously used a BSAR model, we apply the SAOM to empirical data …
… in relation to analysis of choice data are often interdependent rather than sequential. Given the … Moreover, it is a very flexible specification nesting several models often used in empirical …
WY Chen, I Liekens, S Broekx - Environmental management, 2017 - Springer
… that Brussels residents could cognize the interdependence of various attributes and their levels … empirical results from the analysis of respondents’ preferences using the discretechoice …
… , discretechoices. Canonical political science examples include citizens, vote and … some simple evasions that spatialinterdependence does not, empirical applications that model …