Annals of GIS最新文献_第5页

Crime beyond the edge: development of a tool to correct the edge effect on crime count 边缘以外的犯罪:纠正边缘效应对犯罪数量的工具的开发

IF 5

Annals of GIS Pub Date : 2022-03-20 DOI: 10.1080/19475683.2022.2052748

Daniel Salafranca Barreda, Diego J. Maldonado-Guzmán, Patricia Saldaña-Taboada

{"title":"Crime beyond the edge: development of a tool to correct the edge effect on crime count","authors":"Daniel Salafranca Barreda, Diego J. Maldonado-Guzmán, Patricia Saldaña-Taboada","doi":"10.1080/19475683.2022.2052748","DOIUrl":"https://doi.org/10.1080/19475683.2022.2052748","url":null,"abstract":"ABSTRACT The edge effect is a problem that can alter the results of some analyses, such as counting crime within a given geographic area. This article introduces a tool developed for ArcGIS toolbox, (ArcGIS Geographic Information System) to correct the border issues when using an aggregated crime data to artificially bounded space analytical units. It uses a method which considers those points located near the edge of the analysis unit, and avoids increasing the number of criminal points by assigning a value according to the distance of the edge. For this purpose, two functions based on decay with distance can be chosen: normal and linear. In order to show the performance of the tool, a sample of theft data occurred in 2016 in each census tract of Barcelona (Spain) district was used. These results show remarkable differences in the number of thefts in each census tract, before and after applying the edge correction. Some of the census tracts even went from experiencing no theft at all to having 5.5 or 4.5 incidents after correcting the edge effect. Finally, to demonstrate the benefits of the proposed tool, other strategies traditionally used as a solution for the edge effect were used. Then, the results are compared with those previously obtained.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"280 1 1","pages":"279 - 292"},"PeriodicalIF":5.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86172966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

3D-GIS Parametric Modelling for Virtual Urban Simulation Using CityEngine 基于CityEngine的虚拟城市仿真3D-GIS参数化建模

IF 5

Annals of GIS Pub Date : 2022-03-03 DOI: 10.1080/19475683.2022.2037019

Ibrahim M. Badwi, Hisham M. Ellaithy, Hidi E. Youssef

{"title":"3D-GIS Parametric Modelling for Virtual Urban Simulation Using CityEngine","authors":"Ibrahim M. Badwi, Hisham M. Ellaithy, Hidi E. Youssef","doi":"10.1080/19475683.2022.2037019","DOIUrl":"https://doi.org/10.1080/19475683.2022.2037019","url":null,"abstract":"ABSTRACT Modelling and visualization of three-dimensional (3D) models for cities is a great challenge for computer software and graphics. Recently, 3D city modelling has grown due to advances in applications accompanying the information technology revolution. 3D Geographic Information Systems (3D-GIS) have evolved enormously due to the availability of large-scale 3D modelling techniques. These technologies have become very important in representing large cities and conducting various analyses in the city’s virtual environment to support urban decision-making. CityEngine is one of the most recent 3D-GIS modelling applications. CityEngine can be described as parametric modelling using Procedural Modelling (PM) to create 3D urban elements through macros and routines. This paper highlights the importance of 3D Procedural Modelling (PM) of cities in the GIS environment using ESRI CityEngine and presents a parametric concept for designing urban spaces. This issue has been addressed in three respects. First, discuss the concept and strength of parametric design. Second, the concept of procedural modelling and its power to generate complex 3D models using a set of rules is discussed. Finally, CityEngine was evaluated through a real-world case study of a neighbourhood in the new city of Beni-Suef, Egypt. The results confirm the effectiveness of CityEngine as a 3D-GIS modelling software that generates dynamic 3D models from 2D spatial data. While the results are promising, it is important to investigate more complex cases. The CityEngine modelling approach enables comprehensive urban analyses such as sequence vision, façade studies, urban fabric and character, and statistical operations based on attribute database.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"32 1","pages":"325 - 341"},"PeriodicalIF":5.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90716895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

COVID-19 metrics across parliamentary constituencies and districts in India 印度议会选区和地区的COVID-19指标

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Annals of GIS Pub Date : 2022-03-01 DOI: 10.1080/19475683.2022.2044903

Weiyu Wang, J. Blossom, J. Kim, P. deSouza, Weixing Zhang, Rockli Kim, R. Sarwal, S. Subramanian

引用次数: 0

GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya 基于gis的东锡金喜马拉雅滑坡易感性填图演变与比较

IF 5

Annals of GIS Pub Date : 2022-02-28 DOI: 10.1080/19475683.2022.2040587

N. Gupta, S. Pal, J. Das

{"title":"GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya","authors":"N. Gupta, S. Pal, J. Das","doi":"10.1080/19475683.2022.2040587","DOIUrl":"https://doi.org/10.1080/19475683.2022.2040587","url":null,"abstract":"ABSTRACT The main sought of this study is to assess the landslide susceptibility map (LSM) of the East Sikkim Himalaya based on the comparative model analysis using frequency ratio (FR), logistic regression (LR), random forest (RF) and integration of analytical hierarchy process (AHP) with FR (AHP-FR). The models were trained by 166 landslides (70% training) and 12 landslide causative factors whilst tested with the help of 71 landslides (30% testing). Their spatial correlation between the landslides and the causative factors was analysed by using a multicollinearity test. The generated LSM was classified into five classes, i.e. very low, low, moderate, high and very high. In East Sikkim, very high classes of the AHP-FR, LR and FR models cover the area of 11.97%, 11.99% and 7.13%, respectively. The accuracy of prepared LSM was evaluated by using the success rate curve (SRC), prediction rate curve (PRC) and seed calculation area index (SCAI). The area under the curve (AUC) of the success rate curve is 0.88 for the RF model, 0.85 for AHP-FR, 0.78 for LR and 0.79 for FR, whilst the prediction rate curve is 0.86% for the RF model, 0.81 for AHP-FR, 0.79 for LR and 0.78 for FR. The SCAI values of very high susceptibility classes are 0.14, 0.17, 0.18 and 0.19 for the RF, AHP-FR, LR and FR models, respectively. The RF and integrated AHP-FR methods indicate better results as compared to other statistical models.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"145 1","pages":"359 - 384"},"PeriodicalIF":5.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72806555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A spatial statistical study of the distribution of Sardinian nuraghes 撒丁岛努拉格分布的空间统计研究

IF 5

Annals of GIS Pub Date : 2022-02-22 DOI: 10.1080/19475683.2022.2043937

A. Stein, C. Detotto, Mariana Belgiu

{"title":"A spatial statistical study of the distribution of Sardinian nuraghes","authors":"A. Stein, C. Detotto, Mariana Belgiu","doi":"10.1080/19475683.2022.2043937","DOIUrl":"https://doi.org/10.1080/19475683.2022.2043937","url":null,"abstract":"ABSTRACT The spatial distribution of nuraghes throughout the Island of Sardinia still raises many questions. In this paper, we apply spatial statistical methods to investigate their relations with topographical features and with related objects nearby. We use the non-stationary G- and J-functions. To model interactions with topographic variables we use the non-stationary Poisson model. We find that the elevation of the nuraghes show a uniform distribution between 0 and 400 m, and with a peak in distances to holy wells of approximately 5 km. As expected, we found a clustered pattern, with clustering occurring in the mid-west, the centre and the south west of the Island. We further observed a very strong interaction with domus de janas, and a strong spatial interaction for distances in the range between 0 and 1000 m with the pre-Nuragic dolmens and menhirs, and the collective funerary structures, the so-called Nuragic giants’ tombs. We conclude that the study is useful to quantify spatial patterns of pre-historic sites, in particular if these occur in a great abundancy and provides new insight into the spatial relations of the different pre-historic objects and buildings.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"1 1","pages":"245 - 261"},"PeriodicalIF":5.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90393220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Landsat 8Bands’ 1 to 7 spectral vectors plus machine learning to improve land use/cover classification using Google Earth Engine Landsat 8Bands的1到7个光谱矢量加上机器学习，利用谷歌地球引擎改进土地利用/覆盖分类

IF 5

Annals of GIS Pub Date : 2022-02-14 DOI: 10.1080/19475683.2022.2026475

A. H. N. Mfondoum, Sofia Hakdaoui, Roseline Batcha

{"title":"Landsat 8Bands’ 1 to 7 spectral vectors plus machine learning to improve land use/cover classification using Google Earth Engine","authors":"A. H. N. Mfondoum, Sofia Hakdaoui, Roseline Batcha","doi":"10.1080/19475683.2022.2026475","DOIUrl":"https://doi.org/10.1080/19475683.2022.2026475","url":null,"abstract":"ABSTRACT This paper explores a spectral vector-based methodology on Landsat 8 bands of the visible wavelengths, that is deep-blue (1) to shortwave infrared (7), to improve the urban land features classification. Using two different ratio models, based on two and three bands’ combinations in the cloud environment of Google Earth Engine, the Uncertainty reducing Spectral Vector (USVr), the Onward Continuous Spectral Vector (OSVc) and the Onward Discontinuous Spectral Vector (OSVd) are proposed as new entries for the land use land cover (LULC) classification. Two different sizes of arrays are built, i.e. 42 vectors and 15 vectors corresponding to the same number of derivative bands and new pixels′ values. A decision tree is built in J.48 and applied to select the most suitable derivative bands for the analysis. Hereafter, the selected ones are stacked and submitted to five machine learning classifiers using a supervised process, namely, Classification and Regression Trees (CART), Random Forest (RF) Gradient Boosting (GBR), Support Vector Machine (SVM) and Minimum Distance (MD). This method was tested in the two cities of Bamenda and Foumban in west-Cameroon highlands, due to their good representativeness of tropical hilly urban areas’ spatial heterogeneity. The results are satisfying for 4/5 classifiers, up to 87% Overall Accuracy, OA, for 0.82 kappa coefficient, KC, in Bamenda, while combining SVM/OSVd. Whereas, in Foumban, the classifiers perform up to 85%OA and 0.78 KC for the combination SVM/USVr. Only the MD classifier has always performed below 80%OA. The process has been found better than performing classifiers directly on the multispectral (MS) image, by providing more possibilities of hidden spectral indices not yet explored, as far as we know, to detect and discriminate between LULC features, plus an accurate extraction of human settlements.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"352 1","pages":"401 - 424"},"PeriodicalIF":5.0,"publicationDate":"2022-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76593836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Exploring spatial variations of US rock music concerts in relation to population demographics and leisure and hospitality industry 探索美国摇滚音乐会的空间变化与人口统计、休闲和酒店业的关系

IF 5

Annals of GIS Pub Date : 2022-01-27 DOI: 10.1080/19475683.2022.2031293

Tianyu Li

{"title":"Exploring spatial variations of US rock music concerts in relation to population demographics and leisure and hospitality industry","authors":"Tianyu Li","doi":"10.1080/19475683.2022.2031293","DOIUrl":"https://doi.org/10.1080/19475683.2022.2031293","url":null,"abstract":"ABSTRACT Rock music is an integral part of American culture. This paper presents a study of sensing and analysing over 57,000 rock music live performances between 2007 and 2017. Spatial traces of 575 rock music artists performing in concerts nationwide were collected from a major music streaming platform Spotify. Location-based concert data were analysed to explore economic and geographic factors linked to the landscape of rock music live performance and to reveal the importance of population demographics and leisure and hospitality (LH) economics to the culture and music industries from a spatial aspect. Over 90% of rock concerts between 2007 and 2017 were found in 250 counties. The aim of the study is to specify and develop a model that reasonably accounts for spatial heterogeneity present in the concert data. By regressing rock concert data against demographic data and LH establishment data, ordinary least squares (OLS) models were better fitted in metropolitan counties than non-metropolitan counties. Spatial dynamics of concerts were revealed by local R2 values and the obtained structure in the form of spatial heterogeneity was then explained using geographically weighted regression (GWR) models. High population density and LH services in industry-leading cities such as New York City, Los Angeles, Chicago and Houston exhibit advantages in explaining rock concert distributions. Findings from the models reflect the live music industry’s interrelationships to the LH industry and suggest LH services being essential considerations in selecting concert destinations for rock musicians.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"111 1","pages":"293 - 306"},"PeriodicalIF":5.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79625493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data 基于罗家- 1a夜间灯光数据的中国多中心城市识别与城市中心发展水平评价

IF 5

Annals of GIS Pub Date : 2022-01-24 DOI: 10.1080/19475683.2022.2026472

Zhiwei Yang, Yingbiao Chen, Zihao Zheng, Zhi-feng Wu

{"title":"Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data","authors":"Zhiwei Yang, Yingbiao Chen, Zihao Zheng, Zhi-feng Wu","doi":"10.1080/19475683.2022.2026472","DOIUrl":"https://doi.org/10.1080/19475683.2022.2026472","url":null,"abstract":"ABSTRACT Studying the structure of polycentric cities can promote a better understanding of urban development and contribute to urban planning. In this study, we identified polycentric cities in China and evaluated the urban centre development level of polycentric cities from new data and method. We used Luojia-1A night-time light (NTL) data, combined with the concept of natural cities (NCs), to identify urban centres and thus identify polycentric cities in China. In addition, we used the urban centre development index (UCDI) to quantify the urban centre development level (UCDL) that represents the overall urban centre development level within a polycentric city. The polycentric cities in China are characterized by the spatial distribution pattern of a larger number in the east and fewer in the west. There are a large number of polycentric cities in eastern China, and the closer to the coastal areas, the more polycentric cities there are. The distribution of UCDL in China’s polycentric cities is characterized by significant spatial heterogeneity. UCDLs are generally smaller in polycentric cities in western China. In addition, polycentric cities in northeastern China have smaller UCDL. Polycentric cities with high UCDL are concentrated in the central and coastal regions of China.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"19 1","pages":"185 - 195"},"PeriodicalIF":5.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74597799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Human movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation? 美国人口排名前50的城市中不同种族和经济群体的人口流动模式:社交媒体能告诉我们关于隔离的什么?

IF 5

Annals of GIS Pub Date : 2022-01-22 DOI: 10.1080/19475683.2022.2026471

Meiliu Wu, Qunying Huang

{"title":"Human movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation?","authors":"Meiliu Wu, Qunying Huang","doi":"10.1080/19475683.2022.2026471","DOIUrl":"https://doi.org/10.1080/19475683.2022.2026471","url":null,"abstract":"ABSTRACT Many studies have proven that human movement patterns are strongly impacted by individual socioeconomic and demographic background. While many efforts have been made on exploring the influences of age and gender on movement patterns using social media, this study aims to analyse and compare the movement patterns among different racial-ethnic and economic groups using social media (i.e. geotagged tweets) from the U.S. top 50 populated cities. Results show that there are significant differences in number of activity zones and median travel distance across cities and demographic groups, and that power-laws tend to be captured in both spatial and demographic aspects. Additionally, the analysis of outbound-city travels demonstrates that some cities have slightly stronger interaction with others, and that economically disadvantaged populations and racial-ethnic minorities are more restricted in long distance travels, indicating that their spatial mobility is more limited to the local scale. Lastly, an economically-segregated movement pattern is discovered – upper-class neighbourhoods are mostly visited by the upper-class, while lower-class neighbourhoods are mainly accessed by the lower-class – but some racial-ethnic groups can diversify this segregated pattern in the local scale.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"38 1","pages":"161 - 183"},"PeriodicalIF":5.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77429007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Modelling areas for sustainable forest management in a mining and human dominated landscape: A Geographical Information System (GIS)- Multi-Criteria Decision Analysis (MCDA) approach 在采矿和人类主导的景观中模拟可持续森林管理的区域:地理信息系统-多标准决策分析方法

IF 5

Annals of GIS Pub Date : 2022-01-17 DOI: 10.1080/19475683.2022.2026469

X. T. Tiamgne, F. Kalaba, V. Nyirenda, Darius Phiri

{"title":"Modelling areas for sustainable forest management in a mining and human dominated landscape: A Geographical Information System (GIS)- Multi-Criteria Decision Analysis (MCDA) approach","authors":"X. T. Tiamgne, F. Kalaba, V. Nyirenda, Darius Phiri","doi":"10.1080/19475683.2022.2026469","DOIUrl":"https://doi.org/10.1080/19475683.2022.2026469","url":null,"abstract":"ABSTRACT Protected forest areas are fraught with severe threats from mining, agriculture and settlement expansion, and unsustainable use of forest resources. Due to funding and technical challenges, the inadequate monitoring and lack of information limits the conservation efforts in Zambia in general and Solwezi district in particular. Field-based methods in monitoring forest quality and suitability are time consuming and inefficient especially in inaccessible areas. However, with the advent of technology, Geographical Information System (GIS) and remote sensing, important data for forest quality can easily be accessed. This study aimed at assessing the state of protected forest areas in Zambia’s Solwezi Copper mining district, prone to forest fragmentation. Furthermore, this study identifies suitable areas for conservation, based on standardized criteria that combine Multi Criteria Decision Analysis (MCDA) and GIS approach. A suitability model was developed for the selection of the suitable areas, and elimination of the unsuitable ones, using GIS and Analytical Hierarchy Process (AHP). Five suitability criteria and two restriction criteria were used in this model. The results show different ranked levels of suitability which include 15.4% restricted, 18.1% lowly suitable, 14.9% moderately suitable, 21.2% highly suitable and 30.4% extremely suitable. Our approach informs conservationists, and other stakeholders about the status of protected forest areas and avails novel opportunities for creating new ones. This study’s modelling approach can be a prerequisite to sustainable forest management by policy makers and practitioners, and an essential input into forest monitoring.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"62 1","pages":"343 - 357"},"PeriodicalIF":5.0,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90224349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6