Annals of GIS最新文献_第2页

Construction of high-precision DEMs for urban plots 城市地块高精度dem的构建

IF 5

Annals of GIS Pub Date : 2023-04-03 DOI: 10.1080/19475683.2023.2182360

Min Li, Wen Dai, Susu Song, C. Wang, Yu Tao

{"title":"Construction of high-precision DEMs for urban plots","authors":"Min Li, Wen Dai, Susu Song, C. Wang, Yu Tao","doi":"10.1080/19475683.2023.2182360","DOIUrl":"https://doi.org/10.1080/19475683.2023.2182360","url":null,"abstract":"ABSTRACT High-precision digital elevation models (DEMs) are the basic data for constructing digital cities. With the acceleration of urbanization, the topography of urban plots is constantly transformed by human activities, so that surface morphology shows the characteristics of diversification and discontinuity. Existing modelling methods focus on the expression of continuous terrain. Constructing high-precision DEM in urban plots is still challenging. A block-based modelling method that considers the morphological characteristics of urban plot elements was proposed. The Jinzhai County urban area was selected as the research area. The elements of urban plots were classified into six types, in which the boundaries and elevation information were extracted with real sense 3D models, Digital Orthophoto Maps (DOMs) and dense matching point cloud data. The DEMs of the 6 types of elements were generated separately with different methods, that are fused to complete the DEM of urban plots. The DEM obtained using the method in this manuscript was consistent with the reality in terms of topographic relief within each element and clarified the boundary of each element. The accuracy assessment showed that the RMSE results of roads, slopes, other terrains and natural terrains are approximately 0.05 m, which meets the elevation accuracy requirements of the 1:1000 large-scale mapping.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"30 1","pages":"193 - 203"},"PeriodicalIF":5.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78757657","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

Sensemaking in the Wild: A Review of Practitioner Collected Geospatial Data and its Synthesis within Protected Areas for Poaching Mitigation 野外的意义生成:对保护区内从业者收集的地理空间数据及其综合的综述，以减少偷猎

IF 5

Annals of GIS Pub Date : 2023-03-24 DOI: 10.1080/19475683.2023.2192761

Wendy L. Zeller Zigaitis, A. Robinson

{"title":"Sensemaking in the Wild: A Review of Practitioner Collected Geospatial Data and its Synthesis within Protected Areas for Poaching Mitigation","authors":"Wendy L. Zeller Zigaitis, A. Robinson","doi":"10.1080/19475683.2023.2192761","DOIUrl":"https://doi.org/10.1080/19475683.2023.2192761","url":null,"abstract":"ABSTRACT A key challenge for mitigating poaching within protected areas is to understand the geospatial data that are collected by practitioners in protected areas and to characterize the ability to synthesize those data with landscape-level data to form a holistic picture of the movement patterns of humans and animals. Literature reviewed from the past 15 years on geospatial data collected by practitioners to mitigate wildlife poaching reveals a gap in our knowledge on how protected area practitioners make sense of geospatial data that are collected within protected areas. Geospatial data collected within protected areas provide an understanding of movement patterns of humans and animals, which can provide insight on best practices for poaching mitigation, to include where to emplace new geospatial sensors. We classify these data as device-based and human-generated, and their potential to provide geospatially referenced information that forms patterns of poaching activity. This article examines two primary types of geospatial data collected in protected areas, highlights the challenges associated with this data, and discusses knowledge gaps regarding how protected areas make sense of spatial data. We conclude with recommendations for future research on characterizing how geospatial data is represented in protected areas, and filling knowledge gaps on how protected area personnel use those data.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"5 1","pages":"319 - 335"},"PeriodicalIF":5.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84684952","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: 0

GIS-based approach evaluating sustainable spatio-functional accessibility to mosques 基于gis的清真寺可持续空间功能可达性评价方法

IF 5

Annals of GIS Pub Date : 2023-03-19 DOI: 10.1080/19475683.2023.2192768

Rachid Harroucha, Abdel-Ali Chaouni

{"title":"GIS-based approach evaluating sustainable spatio-functional accessibility to mosques","authors":"Rachid Harroucha, Abdel-Ali Chaouni","doi":"10.1080/19475683.2023.2192768","DOIUrl":"https://doi.org/10.1080/19475683.2023.2192768","url":null,"abstract":"ABSTRACT The acceleration of urbanization leads to a geographical extension of cities, longer distances and travel times, increased motorization, and a constantly growing population. Faced with this situation, new urban policies are attempting to control the interaction between urban planning and urban mobility and to redefine a new dimension of proximity, which reduces excessive use of energy-consuming and polluting modes of travel, namely vehicles. This orientation is embodied in the 15-minute city model, which focuses on pedestrian accessibility from one’s home to nearby services and urban spaces. From this perspective, the paper proposes a GIS-based model to evaluate pedestrian accessibility to mosques. Using the open-source software QGIS, a total number of 30 mosques in the Agdal district in the city of Fez in Morocco were studied to investigate their pedestrian accessibility, by examining their spatial distribution and also their capacity to accommodate the worshippers of their catchment areas. Considering the land use and the population density of each mosque’s catchment area, the results showed that even if a mosque can be spatially accessible by walking, it may not be able to comfortably satisfy the potential worshippers in its area of influence. Many people are then forced to travel long distances, sometimes by vehicles, to reach other mosques that can eventually accommodate them. The proposed method helps city planners better understand the urban configuration in terms of spatial and functional pedestrian accessibility, for more inclusive and equitable cities.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"8 1","pages":"429 - 439"},"PeriodicalIF":5.0,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90418365","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: 0

Semantic understanding of high spatial resolution remote sensing images using directional geospatial relationships 基于方向性地理空间关系的高空间分辨率遥感图像语义理解

IF 5

Annals of GIS Pub Date : 2023-03-09 DOI: 10.1080/19475683.2023.2181394

Stuti Ahuja, Sonali Patil, Ujwala M. Bhangale

{"title":"Semantic understanding of high spatial resolution remote sensing images using directional geospatial relationships","authors":"Stuti Ahuja, Sonali Patil, Ujwala M. Bhangale","doi":"10.1080/19475683.2023.2181394","DOIUrl":"https://doi.org/10.1080/19475683.2023.2181394","url":null,"abstract":"ABSTRACT Semantic understanding of high spatial resolution remote sensing (RS) images can be divided into object detection, object labelling, identification of geospatial relationships, and semantic description generation. Geographical relations represent the spatial distribution dependencies between geospatial entities such as points, lines, and polygons, and the topologies among them. Geospatial relations play a very important role in describing the relations between geographic objects. These relations can be broadly classified as topological, directional, and proximity relations. These relations describe the adjacency and association relations between geospatial objects. An approach to identify an appropriate directional geospatial relationship between geo-objects present in high spatial resolution RS images is proposed in this paper. Geospatial objects in the form of the closed boundary are taken as input and relationship triplets are generated. Two approaches have been used in the identification of directional relationships and the results of both approaches are compared. The first approach is based on the centroid of the objects and the second considers whole objects while calculating the direction. These relations are then further represented using a knowledge graph, where nodes represent objects and edges represent their relationship. Knowledge graph plays a very important role in overall scene understanding. It shows the association of all objects with each other. These relationships are then represented in the form of descriptions by using template-based sentence generation. Results show that these directional relationships are accurately identified between each pair of objects using both approaches, but relations generated by considering whole objects are closer to human cognition. Semantic understanding of remote sensing images is of great significance in different applications such as urban surveys, urban planning, and management, military intelligence, etc.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"8 1","pages":"401 - 414"},"PeriodicalIF":5.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88362831","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: 0

BERTCWS: unsupervised multi-granular Chinese word segmentation based on a BERT method for the geoscience domain 基于BERT方法的地球科学领域无监督多粒度中文分词

IF 5

Annals of GIS Pub Date : 2023-03-02 DOI: 10.1080/19475683.2023.2186487

Qinjun Qiu, Zhong Xie, K. Ma, Miao Tian

{"title":"BERTCWS: unsupervised multi-granular Chinese word segmentation based on a BERT method for the geoscience domain","authors":"Qinjun Qiu, Zhong Xie, K. Ma, Miao Tian","doi":"10.1080/19475683.2023.2186487","DOIUrl":"https://doi.org/10.1080/19475683.2023.2186487","url":null,"abstract":"ABSTRACT Unlike alphabet-based languages such as English, the Chinese language has no specifying word boundaries. Segmentation, particularly for the Chinese language, is a fundamental step towards Chinese text processing, information retrieval, and knowledge discovery. In the geoscience domain, most existing Chinese word segmentation tools/models require a prespecified dictionary and a large amount of relevant training corpus, and the segmentation accuracies drop significantly when processing out-domain situations using these same methods. To address this issue, a purely unsupervised and generic two-stage architecture (named BERTCWS) for domain-specific Chinese word segmentation is proposed. We first design an incidence matrix termed the ‘character combination tightness’ to calculate the closeness between characters. Then, BERTCWS recognizes geoscience terms based on a Bidirectional Encoder Representations from Transformers(BERT)-based segmenter, and multi-granular segmentation is generated by setting different thresholds. Finally, the discriminator is constructed to validate the correctness of the segmented words. Our numerical study demonstrates that BERTCWS can identify both general-domain terms and geoscience-domain terms. Additionally, multi-granular segmentation could be applied to offer a set of potential geoscience terms of various lengths.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"16 1","pages":"387 - 399"},"PeriodicalIF":5.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88034653","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: 0

Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches 用多元线性回归和随机森林方法模拟印度西北部数据稀缺地区的PM2.5

IF 5

Annals of GIS Pub Date : 2023-02-27 DOI: 10.1080/19475683.2023.2183523

V. Sharma, Swagata Ghosh, S. Dey, Sultan Singh

{"title":"Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches","authors":"V. Sharma, Swagata Ghosh, S. Dey, Sultan Singh","doi":"10.1080/19475683.2023.2183523","DOIUrl":"https://doi.org/10.1080/19475683.2023.2183523","url":null,"abstract":"ABSTRACT PM2.5 (Particulate matter with aerodynamic diameter <2.5 m) concentrations above permissible limit causes air quality deterioration and hampers human health. Due to the lack of a good spatial network of ground-based PM monitoring sites and systematic checking, the availability of continuous data of PM2.5 concentrations at macro and meso scales is restricted. Present research estimated PM2.5 concentrations at high (1 km) resolution over Faridabad, Ghaziabad, Gurugram and Gautam Buddha Nagar, a data-scarce zone of the highly urbanized area of northwestern India for the year 2019 using Random Forest (RF), Multi-Linear Regression (MLR) models and Hybrid Model combining RF and MLR. It included Aerosol Optical Depth (AOD), meteorological data and limited in-situ data of PM2.5. For validation, the correlation coefficient (R), Root-Mean-Square Error (RMSE), Mean Absolute Error (MAE) and Relative Prediction Error (RPE) have been utilized. The hybrid model estimated PM2.5 with a greater correlation (R = 0.865) and smaller RPE (22.41%) compared to standalone MLR/RF models. Despite the inadequate in-situ data, Greater Noida has been found to have a high correlation (R = 0.933) and low RPE (32.13%) in the hybrid model. The most polluted seasons of the year are winter (137.28 µgm−3) and post-monsoon (112.93 µgm−3), whereas the wet monsoon (44.56 µgm−3) season is the cleanest. The highest PM2.5 level was recorded in Noida followed by Ghaziabad, Greater Noida and Faridabad. The findings of the present research will provide an input dataset for air pollution exposure risk research in parts of northwestern India with sparse monitoring data.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"135 1","pages":"415 - 427"},"PeriodicalIF":5.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90243351","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: 0

Modelling urban expansion with cellular automata supported by urban growth intensity over time 用随时间变化的城市增长强度支持的元胞自动机模拟城市扩张

IF 5

Annals of GIS Pub Date : 2023-02-20 DOI: 10.1080/19475683.2023.2181393

Jinqu Zhang, Dong-Dong Wu, A-Xing Zhu, Yunqiang Zhu

引用次数: 1

Spatiotemporal characteristics of the ancient water wells for the past 3,000a in Zhejiang Province, China: a perspective of geography 浙江近3000 a古水井时空特征:地理学视角

IF 5

Annals of GIS Pub Date : 2023-02-14 DOI: 10.1080/19475683.2023.2166582

Hongxue Zeng, Xinghong Qu, Jing Cheng, Yunqiang Zhu, Li Peng

{"title":"Spatiotemporal characteristics of the ancient water wells for the past 3,000a in Zhejiang Province, China: a perspective of geography","authors":"Hongxue Zeng, Xinghong Qu, Jing Cheng, Yunqiang Zhu, Li Peng","doi":"10.1080/19475683.2023.2166582","DOIUrl":"https://doi.org/10.1080/19475683.2023.2166582","url":null,"abstract":"ABSTRACT Water wells are very important in the history of human development. The identification of spatiotemporal patterns of ancient water wells is a key to understanding the relationship between ancients and water, the evolution of ancient settlement patterns, and the history of population migration. However, at present, there are few reports to quantitatively explore the spatiotemporal evolution of ancient water wells from the perspective of geography. There is still a knowledge gap. Therefore, we show that a spatiotemporal kernel density estimation (STKDE) model and the centre-of-gravity method are useful for studying the spatiotemporal evolution of ancient water wells over the past 3,000 years in Zhejiang Province of southern China. The results show that in the past 3,000 years, the ancient water wells there have experienced an evolution from ‘single-core’ to ‘multicore’ aggregation, and the scope has gradually shifted from northern Zhejiang to southern Zhejiang. In addition, Hangzhou, Shangyu and ChunAn have always been aggregation centres. Socioeconomic factors, political and social stability, natural environmental conditions, population density and technological progress are the most important variables associated with water well ‘hot spots’ in time and space. This article provides a new perspective for the study of ancient water wells and fills the knowledge gap in understanding the spatiotemporal evolution characteristics of ancient water wells and other point or line features in the archaeological record.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"27 1","pages":"307 - 318"},"PeriodicalIF":5.0,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83668359","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: 0

Analysing the inconsistencies of CORINE status layers (CLC) and layers of changes (CHA) (1990-2018) for a Spanish case study 以西班牙为例，分析CORINE状态层(CLC)和变化层(CHA)(1990-2018)的不一致性

IF 5

Annals of GIS Pub Date : 2023-02-10 DOI: 10.1080/19475683.2023.2166583

D. Álvarez, María Teresa Camacho Olmedo

引用次数: 3

Analysis and description of crimes in Mexico city using point pattern analysis within networks 利用网络中的点模式分析和描述墨西哥城的犯罪

IF 5

Annals of GIS Pub Date : 2023-02-07 DOI: 10.1080/19475683.2023.2166108

I. Vlad, C. Díaz-Avalos, Pablo Juan, Somnath Chaudhuri

引用次数: 0