Applied Geography最新文献

Disaggregating census data for population mapping using a Bayesian Additive Regression Tree model 利用贝叶斯加性回归树模型分解人口普查数据以绘制人口分布图

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-14 DOI: 10.1016/j.apgeog.2024.103416

{"title":"Disaggregating census data for population mapping using a Bayesian Additive Regression Tree model","authors":"","doi":"10.1016/j.apgeog.2024.103416","DOIUrl":"10.1016/j.apgeog.2024.103416","url":null,"abstract":"<div><p>Population data is crucial for policy decisions, but fine-scale population numbers are often lacking due to the challenge of sharing sensitive data. Different approaches, such as the use of the Random Forest (RF) model, have been used to disaggregate census data from higher administrative units to small area scales. A major limitation of the RF model is its inability to quantify the uncertainties associated with the predicted populations, which can be important for policy decisions. In this study, we applied a Bayesian Additive Regression Tree (BART) model for population disaggregation and compared the result with a RF model using both simulated data and the 2021 census data for Ghana. The BART model consistently outperforms the RF model in out-of-sample predictions for all metrics, such as bias, mean squared error (MSE), and root mean squared error (RMSE). The BART model also addresses the limitations of the RF model by providing uncertainty estimates around the predicted population, which is often lacking with the RF model. Overall, the study demonstrates the superiority of the BART model over the RF model in disaggregating population data and highlights its potential for gridded population estimates.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824002212/pdfft?md5=44f880423c98386303972ce33803cc16&pid=1-s2.0-S0143622824002212-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Does community-based tenure prevent land grabbing? The oil palm case in Mexico 以社区为基础的土地保有权能否防止土地掠夺？墨西哥油棕榈树案例

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-14 DOI: 10.1016/j.apgeog.2024.103413

引用次数: 0

Mapping and measuring neighbourhood social media groups. The case of facebook 绘制和测量邻里社交媒体群体。facebook 案例

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-13 DOI: 10.1016/j.apgeog.2024.103415

{"title":"Mapping and measuring neighbourhood social media groups. The case of facebook","authors":"","doi":"10.1016/j.apgeog.2024.103415","DOIUrl":"10.1016/j.apgeog.2024.103415","url":null,"abstract":"<div><p>Social media is a pervasive part of everyday life. Neighbourhood social media are important community orientated structures that serve as digital platforms where local residents can connect with neighbours, exchange information, and share resources. The current study details an analytic framework to systematically capture, measure and map neighbourhood social media (Facebook groups) presence for a large metropolitan region, Brisbane, Australia. Further through modelling we reveal how socially organised communities acquire a higher number of neighbourhood-based social media groups while socially disorganised communities tend to have social media groups associated with crime or crime watch. We also unveil important spatial patterns with more neighbourhood-based social media groups located in coastal areas that are associated with tourism, leisure activities and recreational pursuits. Our findings demonstrate that neighbourhood-based social media is an important component of community social infrastructure and can support collective capacity to respond to problems. Our hope is that our approach can be replicated in other situational and cultural contexts to assemble a growing set of comparative studies through which the spatial distribution of locality-based social media can be assessed.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824002200/pdfft?md5=e681f23d170dd64b7cefe9a2da4546bb&pid=1-s2.0-S0143622824002200-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Identifying the determinants of E-commerce offerings among grocery store locations in the United States: A spatial econometric analysis 确定美国杂货店所在地提供电子商务服务的决定因素：空间计量经济学分析

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-12 DOI: 10.1016/j.apgeog.2024.103418

引用次数: 0

Exploring spatiotemporal dynamics, seasonality, and time-of-day trends of PM2.5 pollution with a low-cost sensor network: Insights from classic and spatially explicit Markov chains 利用低成本传感器网络探索 PM2.5 污染的时空动态、季节性和天时趋势：经典马尔可夫链和空间显式马尔可夫链的启示

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-10 DOI: 10.1016/j.apgeog.2024.103414

{"title":"Exploring spatiotemporal dynamics, seasonality, and time-of-day trends of PM2.5 pollution with a low-cost sensor network: Insights from classic and spatially explicit Markov chains","authors":"","doi":"10.1016/j.apgeog.2024.103414","DOIUrl":"10.1016/j.apgeog.2024.103414","url":null,"abstract":"<div><p>Fine particulate matter (PM<sub>2.5</sub>) is a major health and environmental concern, with significant spatiotemporal dynamics in urban areas. Low-cost air quality sensor (LCS) networks offer a paradigm-changing opportunity to acquire high spatiotemporal resolution data, revealing the urban pollution landscape with sufficient detail for effective policymaking and health assessment. This study advances geospatial air quality research by using classic and spatial Markov chains to analyze the seasonality and intra-daily variations of PM<sub>2.5</sub> using LCS data. Results highlight distinctive PM<sub>2.5</sub> seasonality, with the “Good” state predominating in summer and being least common in winter. Midday is the peak period for the “Good” state, while mornings and nights have poorer conditions, suggesting a need for stricter pollution control during evening traffic rush hours. Notably, the impact of temporal scale on spatial Markov analysis is substantial, showing a broader range of air pollution states, increased stability, and reduced variation between time intervals compared to daily assessments. Site-level analysis reveals that rural sites are more likely to maintain “Good” state and less likely to transition out of it. Overall, this study highlights the effectiveness of high spatiotemporal resolution data and demonstrates the capacity of Markov chains to reveal nuances in phenomena such as air pollution.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824002194/pdfft?md5=b8c899f09d1dcddd75ec1a31f5263aa7&pid=1-s2.0-S0143622824002194-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Analyzing urban traffic crash patterns through spatio-temporal data: A city-level study using a sparse non-negative matrix factorization model with spatial constraints approach 通过时空数据分析城市交通事故模式：使用带有空间约束的稀疏非负矩阵因式分解模型的城市级研究

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-07 DOI: 10.1016/j.apgeog.2024.103402

{"title":"Analyzing urban traffic crash patterns through spatio-temporal data: A city-level study using a sparse non-negative matrix factorization model with spatial constraints approach","authors":"","doi":"10.1016/j.apgeog.2024.103402","DOIUrl":"10.1016/j.apgeog.2024.103402","url":null,"abstract":"<div><p>Urban traffic crashes represent a significant challenge affecting public safety and urban mobility worldwide. This study introduces a novel application of Sparse Non-negative Matrix Factorization with spatial constraints to analyze spatio-temporal patterns of traffic crashes at a city level. Using comprehensive crash data from Denver and Manhattan during 2020, we developed and validated a model capable of capturing distinct temporal dynamics and spatial distributions of traffic crashes. Unlike traditional methods, our approach integrates sparsity and spatial constraints, enhancing the model's ability to handle the inherent sparsity and geographical dependencies found in urban traffic data. The results demonstrate the model's effectiveness in identifying high-risk areas and times, providing actionable insights that can inform urban planning and targeted safety interventions. The study underscores the potential of advanced data-driven techniques in urban traffic analysis and contributes to the broader efforts of improving traffic safety through informed decision-making and policy development.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142147512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Scrutinizing the cultural ecosystem services of Chinese Classical Gardens: A novel deep learning approach based on online reviews from a multisensory perspective 研究中国古典园林的文化生态系统服务：基于多感官视角在线评论的新型深度学习方法

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-05 DOI: 10.1016/j.apgeog.2024.103404

{"title":"Scrutinizing the cultural ecosystem services of Chinese Classical Gardens: A novel deep learning approach based on online reviews from a multisensory perspective","authors":"","doi":"10.1016/j.apgeog.2024.103404","DOIUrl":"10.1016/j.apgeog.2024.103404","url":null,"abstract":"<div><p>The cultural ecosystem services (CESs) -related studies for decades have centered on the visual connotations of human perceptions rather than incorporating the other sensory experiences. This paper works to narrow the research gaps through scrutinizing the CESs of Chinese Classical Gardens from a multisensory perspective. We first demonstrate a qualitative phenomenological approach to conceptualizing the CES typologies of Chinese Classical Gardens, and then propose a novel deep learning approach to measuring their CESs based on online reviews from the lens of five senses. Following, the inter-relationships among the CESs are examined using co-occurrence network analysis. Results show that the CESs typologies of Chinese Classical Gardens include 7 main categories and 21 minor classes. Among them, the visual perception based CESs make up the highest proportion, but a noteworthy proportion of hearing, touch and taste based CESs is also observed. Additionally, the visual perception based CESs and auditory perception based CESs generally present higher centrality within the networked typology. Based on the discoveries, we finally discuss implications for landscape management. This paper foregrounds the effectiveness and feasibility of scrutinizing CESs from a multisensory perspective, and adds fuels to unpack the full spectrum of CESs for the geographical community.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142147657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 geography of partisan homophily in the 2020 US presidential election 2020 年美国总统大选中党派同质性的地理分布

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-02 DOI: 10.1016/j.apgeog.2024.103371

{"title":"The geography of partisan homophily in the 2020 US presidential election","authors":"","doi":"10.1016/j.apgeog.2024.103371","DOIUrl":"10.1016/j.apgeog.2024.103371","url":null,"abstract":"<div><p>Partisan segregation in the United States is often interpreted as evidence of limited social interaction among out-partisans, or partisan homophily. In this paper, I draw on 2020 US presidential election results and data on the pairwise density of social ties between the populations of 22,537 zip code tabulation areas (ZCTA) to examine how different areas are socially connected to politically similar others. Using the local Moran index, I first identify clusters of ZCTAs where there is evidence of partisan homophily or heterophily. In a series of multinomial logistic regressions, I then also examine differences in the probability of each cluster across different settlement types and regions, and across areas with differences in the relative connectedness and geographic distance to others. I find that partisan homophily is the norm across areas, broadly tracking partisan segregation along the urban-rural continuum. However, the populations of Democratic-leaning areas, which are most likely to be in cities and suburbs, are on average likely to have more of their co-partisan social ties in relatively distant areas when compared to the populations of Republican-leaning areas. This highlights the prospect of partisan differences in the role of non-local context in local political outcomes.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824001760/pdfft?md5=04b9d16b8373e788114f106268b996b0&pid=1-s2.0-S0143622824001760-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Spatial proximity in ‘local’ Alternative Food Networks: a case study of AMAP in France 地方 "替代食品网络的空间邻近性：法国 AMAP 案例研究

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-02 DOI: 10.1016/j.apgeog.2024.103401

{"title":"Spatial proximity in ‘local’ Alternative Food Networks: a case study of AMAP in France","authors":"","doi":"10.1016/j.apgeog.2024.103401","DOIUrl":"10.1016/j.apgeog.2024.103401","url":null,"abstract":"<div><p>This paper explores the emerging paradigm of alternative food networks (AFN), with a focus on AMAP (Association pour le Maintien de l’Agriculture Paysanne) in France as a case study. Delving into the multifaceted concept of spatial proximity within such networks, this paper explores three hypotheses drawn from literature on the spatiality of AFN, analyzing both ‘local’ distances variability and the characteristics of agricultural and urban contexts where such local-based AFN take place. Methodologically, the study leverages an original, manually compiled database at a national scale encompassing AMAP producers and distribution points. Specific analytical protocols are developed combining traditional geographical approaches with machine learning techniques. Key findings reveal the influence of both population density and agricultural land availability on the distances between producers and selling locations. Moreover, the study discerns that the nature of products and their processing levels significantly shapes 'local' distances. Additionally, the paper offers insights into distinctive features of the morphological landscape associated with AMAP producers. These findings may serve as a catalyst for future inquiries into the spatial dynamics and potential spatial configurations of alternative food networks.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824002066/pdfft?md5=2322f3292bdc29ec83312cff86e48139&pid=1-s2.0-S0143622824002066-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142130240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Does the spatial distribution of afforestation by government and farmers in Beijing follow a random pattern? 北京政府和农民植树造林的空间分布是否遵循随机模式？

IF 4 2区地球科学

Applied Geography Pub Date : 2024-09-02 DOI: 10.1016/j.apgeog.2024.103403

{"title":"Does the spatial distribution of afforestation by government and farmers in Beijing follow a random pattern?","authors":"","doi":"10.1016/j.apgeog.2024.103403","DOIUrl":"10.1016/j.apgeog.2024.103403","url":null,"abstract":"<div><p>The forestland expansion is the joint efforts by various behavioral actors, and among them governments and farmers play a more important role in it. However, their afforestation behaviors haven't be together investigated. Examining Beijing metropolitan area, this research distinguishes between government-led (GA) and farmer-led (FA) afforestation on arable land, and analyzes their spatial characteristics and the influencing factors using Ordinary Least Squares and Geographically Weighted Regression models. Our findings show: (1) Spatial distributions of GA and FA are non-random and systematically organized. GA dominates both in the areas close to the central city and at the outermost edge of the metropolitan area. FA leads in intermediate zones between GA dominant areas. (2) Both GA and FA are rational strategies for land allocation. GA in areas close to the central city is regarded as a trade-off between public benefits of afforestation and potential loss of fiscal revenue, while GA at the metropolitan area's outermost edge prioritizes ecological gains and lower land costs. FA, however, is driven by maximizing household welfare amidst the challenges brought by rural exodus and a rapid aging society. The findings deepen the existing investigations and provide a guidance for spatially organizing GA and synthetically regulating FA.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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