Geographical Analysis最新文献

Impacts of improved transport on regional market access 改善交通运输对区域市场准入的影响

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-09-02 DOI: 10.1111/gean.12413

M.E. O'Kelly

引用次数: 0

Testing Hypotheses When You Have More Than a Few* 在假设较多的情况下进行假设检验 *

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-08-29 DOI: 10.1111/gean.12412

Peter A. Rogerson

引用次数: 0

Beyond Auto‐Models: Self‐Correlated Sui‐Model Respecifications 超越自动模型：自相关隋模的重新定义

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-08-19 DOI: 10.1111/gean.12411

Daniel A. Griffith

{"title":"Beyond Auto‐Models: Self‐Correlated Sui‐Model Respecifications","authors":"Daniel A. Griffith","doi":"10.1111/gean.12411","DOIUrl":"https://doi.org/10.1111/gean.12411","url":null,"abstract":"This year is the 50th anniversary of Besag's classic auto‐models publication, a cornerstone in the development of modern‐day spatial statistics/econometrics. Besag struggled for nearly two decades to make his conceptualization collectively successful across a wide suite of random variables. But only his auto‐normal, and to a lesser degree his auto‐logistic/binomial, were workable. Others, like his auto‐Poisson, were effectively failures, whereas still others, such as potentials like an auto‐Weibull, defied even awkward mathematical incorporations of spatial lag terms. Besag circumvented this impediment by introducing an auto‐normal random effects components (within a Bayesian estimation context), building upon his single total success. This article describes an alternative approach, partly paralleling his reformulation while avoiding inserting spatial lag terms directly into probability density/mass functions, implanting spatial autocorrelation into cumulative distributions functions (CDFs), instead, via a spatially autocorrelated uniform distribution. The already existing probability integral transform and quantile function mathematical statistics theorems enable this mechanism to spatialize any random variable, with these new ones labeled sui‐models.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"8 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206186","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: 0

The Multiple Gradual Maximal Covering Location Problem 多重渐进最大覆盖定位问题

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-07-11 DOI: 10.1111/gean.12410

Ashleigh N. Price, Kevin M. Curtin

{"title":"The Multiple Gradual Maximal Covering Location Problem","authors":"Ashleigh N. Price, Kevin M. Curtin","doi":"10.1111/gean.12410","DOIUrl":"https://doi.org/10.1111/gean.12410","url":null,"abstract":"This article describes a new spatial optimization model, the Multiple Gradual Maximal Covering Location Problem (MG‐MCLP). This model is useful when coverage from multiple facilities or sensors is necessary to consider a demand to be covered, and when the quality of that coverage varies with the number of located facilities within the service distance, and the distance from the demand itself. The motivating example for this model uses a coupled GIS and optimization framework to determine the optimal locations for acoustic sensors—typically used in police applications for gunshot detection—in Tuscaloosa, AL. The results identify the optimal facility locations for allocating multiple facilities, at different locations, to cover multiple demands and evaluate those optimal locations with distance‐decay. Solving the MG‐MCLP over a range of values allows for comparing the performance of varying numbers of available resources, which could be used by public safety operations to demonstrate the number of resources that would be required to meet policy goals. The results illustrate the flexibility in designing alternative spatial allocation strategies and provide a tractable covering model that is solved with standard linear programming and GIS software, which in turn can improve spatial data analysis across many operational contexts.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"14 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609055","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: 0

Correction to “A hybrid approach for mass valuation of residential properties through geographic information systems and machine learning integration” 更正 "通过地理信息系统和机器学习集成实现住宅物业大规模估值的混合方法"

IF 3.3 3区地球科学

Geographical Analysis Pub Date : 2024-06-27 DOI: 10.1111/gean.12409

引用次数: 0

Plausible Reasoning and Spatial‐Statistical Theory: A Critique of Recent Writings on “Spatial Confounding” 似是而非的推理与空间统计理论：对近期有关 "空间混杂 "的著作的批判

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-06-20 DOI: 10.1111/gean.12408

Connor Donegan

引用次数: 0

Feasibility of Using Survey Data and Semi‐variogram Kriging to Obtain Bespoke Indices of Neighborhood Characteristics: A Simulation and a Case Study 使用调查数据和半变异图克里金法获得邻里特征定制指数的可行性：模拟与案例研究

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-04-09 DOI: 10.1111/gean.12401

Emily Finne, Odile Sauzet

引用次数: 0

Uncovering Representation Bias in Large-scale Cellular Phone-based Data: A Case Study in North Carolina 在基于手机的大规模数据中发现代表性偏差：北卡罗来纳州案例研究

IF 3.3 3区地球科学

Geographical Analysis Pub Date : 2024-04-08 DOI: 10.1111/gean.12399

Hanna V. Jardel, Paul L. Delamater

{"title":"Uncovering Representation Bias in Large-scale Cellular Phone-based Data: A Case Study in North Carolina","authors":"Hanna V. Jardel, Paul L. Delamater","doi":"10.1111/gean.12399","DOIUrl":"10.1111/gean.12399","url":null,"abstract":"<p>Large cellular phone-based mobility datasets are an important new data source for research on human movement. We investigate and illustrate bias in representation in a large mobility data set at the census block group, tract, and county levels. We paired American Community Survey (ACS) 2019 data with SafeGraph (SG) cell phone mobility data to elucidate potential bias in SG data by examining ACS estimated population against the number of devices in the SG data, stratifying by key sociodemographic variables such as income, percent Black population, percent of population over 55 years, percent of population 18–65 years, percent of people living in crowded living conditions, and urbanization level. We evaluated whether the bias varied over time by examining a 10-month period. This bias changes with key demographic characteristics and changes over time. Specifically, we see underrepresentation in areas that have the highest percentage of Black population at all aggregation levels. We also see underrepresentation at all levels in areas with the highest percentage of working age residents as well as areas with the lowest median incomes. Researchers should be cautious when using mobility datasets because of bias differential on key sociodemographic factors and collection time.</p>","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"56 4","pages":"723-745"},"PeriodicalIF":3.3,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590793","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: 0

How Good Is Open Bicycle Network Data? A Countrywide Case Study of Denmark 开放的自行车网络数据有多好？丹麦全国案例研究

IF 3.6 3区地球科学

Geographical Analysis Pub Date : 2024-04-06 DOI: 10.1111/gean.12400

Ane Rahbek Vierø, Anastassia Vybornova, Michael Szell

{"title":"How Good Is Open Bicycle Network Data? A Countrywide Case Study of Denmark","authors":"Ane Rahbek Vierø, Anastassia Vybornova, Michael Szell","doi":"10.1111/gean.12400","DOIUrl":"https://doi.org/10.1111/gean.12400","url":null,"abstract":"Cycling is a key ingredient for a sustainability shift of Denmark's transportation system. To increase cycling rates, better bicycle infrastructure networks are required. Planning such networks requires high‐quality infrastructure data, yet the quality of bicycle infrastructure data is understudied. Here, we compare the two largest open data sets on dedicated bicycle infrastructure in Denmark, OpenStreetMap (OSM) and GeoDanmark, in a countrywide data quality assessment, asking whether the data are good enough for network‐based analysis of cycling conditions. We find that neither of the data sets is of sufficient quality, and that data conflation is necessary to obtain a more complete data set. Our analysis of the spatial variation of data quality suggests that rural areas are more prone to incomplete data. We demonstrate that the prevalent method of using infrastructure density as a proxy for data completeness is not suitable for bicycle infrastructure data, and that matching of corresponding features is thus necessary to assess data completeness. Based on our data quality assessment, we recommend strategic mapping efforts toward data completeness, consistent standards to support comparability between different data sources, and increased focus on data topology to ensure high‐quality bicycle network data.","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"12 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590515","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: 0

Development of a Variable Multimodal Balanced Floating Catchment Area Approach for Spatial Accessibility Assessment 开发用于空间可达性评估的可变多模式平衡浮动集水区方法

IF 3.3 3区地球科学

Geographical Analysis Pub Date : 2024-04-01 DOI: 10.1111/gean.12398

Ouidad Benhlima, Fouad Riane, Jakob Puchinger, Hicham Bahi

{"title":"Development of a Variable Multimodal Balanced Floating Catchment Area Approach for Spatial Accessibility Assessment","authors":"Ouidad Benhlima, Fouad Riane, Jakob Puchinger, Hicham Bahi","doi":"10.1111/gean.12398","DOIUrl":"10.1111/gean.12398","url":null,"abstract":"<p>Rapid urbanization and expansion, stemming from demographic growth and migration from rural areas to urban centers, have heavily strained cities in recent years. These circumstances have created an ever-growing need for equipment and essential services. On the other hand, previous research has shown that accessibility measurement is a powerful technique for assessing urban compactness. This assessment arises from the willingness of urban planners to develop transport services and land use across various cities globally. This paper addresses the computational problem of spatial accessibility, focusing on the influence of private cars versus public transport. We introduced a metric that enhances the Balanced Floating Catchment Area (BFCA) index. Our metric not only considers multiple transportation modes in the calculation of spatial accessibility but also takes into account variable catchment sizes. We applied our metric in a case study examining spatial accessibility to public hospitals in Casablanca. The results provide a geographic breakdown of each transportation mode, and the accessibility of different scenarios has been compared.</p>","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"56 4","pages":"678-699"},"PeriodicalIF":3.3,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590784","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: 0