Geographical Analysis最新文献_第10页

Recursive Estimation of the Spatial Error Model 空间误差模型的递归估计

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2022-01-03 DOI: 10.1111/gean.12317

Chiara Ghiringhelli, Gianfranco Piras, Giuseppe Arbia, Antonietta Mira

引用次数: 2

Spatial Causality: A Systematic Review on Spatial Causal Inference 空间因果关系：空间因果推理的系统综述

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-12-14 DOI: 10.1111/gean.12312

Kamal Akbari, Stephan Winter, Martin Tomko

{"title":"Spatial Causality: A Systematic Review on Spatial Causal Inference","authors":"Kamal Akbari, Stephan Winter, Martin Tomko","doi":"10.1111/gean.12312","DOIUrl":"10.1111/gean.12312","url":null,"abstract":"The growing interest in causal inference in recent years has led to new causal inference methodologies and their applications across disciplines and research domains. Yet, studies on spatial causal inference are still rare. Causal inference on spatial processes is faced with additional challenges, such as spatial dependency, spatial heterogeneity, and spatial effects. These challenges can lead to spurious results and subsequently, incorrect interpretations of the outcomes of causal analyses. Recognizing the growing importance of causal inference in the spatial domain, we conduct a systematic literature review on spatial causal inference based on a formal concept mapping. To identify how to assess and control for the adverse effects of spatial influences, we assess publications relevant to spatial causal inference based on criteria relating to application discipline, methods used, and techniques applied for managing issues related to spatial processes. We thus present a snapshot of state of the art in spatial causal inference and identify methodological gaps, weaknesses and challenges of current spatial inference studies, along with opportunities for future research.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"55 1","pages":"56-89"},"PeriodicalIF":3.6,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49363047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

In memoriam: Martin Charlton 纪念马丁·查尔顿

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-12-03 DOI: 10.1111/gean.12309

Christopher Brunsdon, Alexis Comber, Paul Harris, Jan Rigby, Andrew Large

引用次数: 0

GeoDa, From the Desktop to an Ecosystem for Exploring Spatial Data GeoDa，从桌面到探索空间数据的生态系统

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-11-19 DOI: 10.1111/gean.12311

Luc Anselin, Xun Li, Julia Koschinsky

引用次数: 15

Reproducibility of Research During COVID-19: Examining the Case of Population Density and the Basic Reproductive Rate from the Perspective of Spatial Analysis COVID-19期间研究的可重复性:基于空间分析视角的人口密度与基本繁殖率案例检验

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-11-18 DOI: 10.1111/gean.12307

Antonio Paez

引用次数: 14

Reproducible Science Is Vital for a Stronger Evidence Base During the COVID-19 Pandemic 在COVID-19大流行期间，可再生科学对于建立更强有力的证据基础至关重要

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-11-16 DOI: 10.1111/gean.12314

Karla Therese L. Sy, Laura F. White, Brooke E. Nichols

{"title":"Reproducible Science Is Vital for a Stronger Evidence Base During the COVID-19 Pandemic","authors":"Karla Therese L. Sy, Laura F. White, Brooke E. Nichols","doi":"10.1111/gean.12314","DOIUrl":"10.1111/gean.12314","url":null,"abstract":"Reproducible research becomes even more imperative as we build the evidence base on SARS-CoV-2 epidemiology, diagnosis, prevention, and treatment. In his study, Paez assessed the reproducibility of COVID-19 research during the pandemic, using a case study of population density. He found that most articles that assess the relationship of population density and COVID-19 outcomes do not publicly share data and code, except for a few, including our paper, which he stated “illustrates the importance of good reproducibility practices”. Paez recreated our analysis using our code and data from the perspective of spatial analysis, and his new model came to a different conclusion. The disparity between our and Paez’s findings, as well as other existing literature on the topic, give greater impetus to the need for further research. As there has been near exponential growth of COVID-19 research across a wide range of scientific disciplines, reproducible science is a vital component to produce reliable, rigorous, and robust evidence on COVID-19, which will be essential to inform clinical practice and policy in order to effectively eliminate the pandemic.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"55 1","pages":"203-206"},"PeriodicalIF":3.6,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652901/pdf/GEAN-9999-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39719204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Balancing Spatial and Non-Spatial Variation in Varying Coefficient Modeling: A Remedy for Spurious Correlation 在变系数模型中平衡空间和非空间差异:对虚假相关的补救

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-11-14 DOI: 10.1111/gean.12310

Daisuke Murakami, Daniel A. Griffith

{"title":"Balancing Spatial and Non-Spatial Variation in Varying Coefficient Modeling: A Remedy for Spurious Correlation","authors":"Daisuke Murakami, Daniel A. Griffith","doi":"10.1111/gean.12310","DOIUrl":"10.1111/gean.12310","url":null,"abstract":"This study discusses the importance of balancing spatial and non-spatial variation in spatial regression modeling. Unlike spatially varying coefficients (SVC) modeling, which is popular in spatial statistics, non-spatially varying coefficients (NVC) modeling has largely been unexplored in spatial fields. Nevertheless, as we will explain, consideration of non-spatial variation is needed not only to improve model accuracy but also to reduce spurious correlation among varying coefficients, which is a major problem in SVC modeling. We consider a Moran eigenvector approach modeling spatially and non-spatially varying coefficients (S&NVC). A Monte Carlo simulation experiment comparing our S&NVC model with existing SVC models suggests both modeling accuracy and computational efficiency for our approach. Beyond that, somewhat surprisingly, our approach identifies true and spurious correlations among coefficients nearly perfectly, even when usual SVC models suffer from severe spurious correlations. It implies that S&NVC model should be used even when the analysis purpose is modeling SVCs. Finally, our S&NVC model is employed to analyze a residential land price data set. Its results suggest existence of both spatial and non-spatial variation in regression coefficients in practice. The S&NVC model is now implemented in the R package spmoran.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"55 1","pages":"31-55"},"PeriodicalIF":3.6,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gean.12310","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44618791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Mapping the Spatial Conditions of Polycentric Urban Development in Europe: An Open-source Software Tool 绘制欧洲多中心城市发展的空间条件:一个开源软件工具

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-11-09 DOI: 10.1111/gean.12313

Freke Caset, Ben Derudder, Céline Van Migerode, Bart De Wit

{"title":"Mapping the Spatial Conditions of Polycentric Urban Development in Europe: An Open-source Software Tool","authors":"Freke Caset, Ben Derudder, Céline Van Migerode, Bart De Wit","doi":"10.1111/gean.12313","DOIUrl":"10.1111/gean.12313","url":null,"abstract":"Urban polycentricity has become a key concept in urban and regional studies and is increasingly adopted as an organizational framework for conducting empirical research. Within this literature, polycentric urban regions are commonly defined as territories that have multiple, proximately located (sub)centers and are characterized by balanced urban development. However, analytical-operational frameworks to identify and classify PURs are often ad hoc efforts to answer a specific research question and underlying work is often shelved rather than shared and/or made accessible. As a result, challenges associated with generalizability, reproducibility, and replicability clearly loom large in the urban polycentricity literature. Against this backdrop, this article describes the discrepancy between a rich debate on polycentricity and the paucity of tools enabling the disambiguation and reproducibility of results claimed by various authors around this polysemic concept. We present an online and open tool—PURban—that brings together the major analytical-operational frameworks and data sets in urban polycentricity research and allows parametrizing key operational choices. To illustrate the tool, we demonstrate how it facilitates the identification, mapping and analysis of degrees of morphological polycentricity in European urban systems. We conclude by reflecting on how this tool can act as a catalyst for future research on urban polycentricity.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"54 3","pages":"583-598"},"PeriodicalIF":3.6,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49014416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Micro-Econometric Store Choice Model Incorporating Multi- and Omni-Channel Shopping: The Case of Furniture Retailing in Germany 一个包含多渠道和全渠道购物的微观计量经济学商店选择模型:德国家具零售业的案例

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-10-28 DOI: 10.1111/gean.12308

Thomas Wieland

{"title":"A Micro-Econometric Store Choice Model Incorporating Multi- and Omni-Channel Shopping: The Case of Furniture Retailing in Germany","authors":"Thomas Wieland","doi":"10.1111/gean.12308","DOIUrl":"10.1111/gean.12308","url":null,"abstract":"Online retailing and multi-/omni-channel shopping are gaining in importance. However, there is a significant lack of research focused on incorporating online shopping into models of spatial shopping behavior. The present study aims (1) to construct a store choice model which includes both physical and online stores as well as the opportunity for omni-channel shopping, and (2) to identify the main drivers of spatial shopping behavior given the availability of both channels. Based on a representative survey, this study employs a revealed-preference approach toward store choice and expenditures in furniture retailing. The statistical analysis is performed using a hurdle model approach, with the expenditures of individual consumers at (online or physical) furniture stores serving as the dependent variable. Results show that channel choice (online vs. offline) is mainly influenced by psychographic characteristics, place of residence, and age of the consumers. Store choice and expenditures are primarily explained by store features such as assortment size, omni-channel integration, and accessibility. This study demonstrates that e-shopping can be integrated into a store choice model and that both the modeling approach and the subsequent findings are of significance for retail companies and spatial planning.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"55 1","pages":"3-30"},"PeriodicalIF":3.6,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gean.12308","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44298992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Empirical Study of Commuting Efficiency Between Different Educational Categories of Workers in Shanghai 上海不同学历职工通勤效率的实证研究

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2021-10-09 DOI: 10.1111/gean.12306

Liying Yue, Morton E. O'Kelly, Ruijun Wu

引用次数: 3