2021 28th International Conference on Geoinformatics最新文献_第2页

Spatiotemporal Changes of Coastal Wetland During 1985–2015 in Tianjin Binhai New Area 1985-2015年天津滨海新区滨海湿地时空变化

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687638

Yi Gao, J. Hou, Zhiyuan Ren, Juncheng Wang, Xiaoyu Sun

{"title":"Spatiotemporal Changes of Coastal Wetland During 1985–2015 in Tianjin Binhai New Area","authors":"Yi Gao, J. Hou, Zhiyuan Ren, Juncheng Wang, Xiaoyu Sun","doi":"10.1109/ieeeconf54055.2021.9687638","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687638","url":null,"abstract":"Coastal wetland in Binhai New Area changed in the past period of 1985–2015. Remote sensing and investigation data were used for wetland extracting in Binhai New Area, and the wetland coverage rate in1985, 1995, 2005, 2015 was 76.3%,75.6%,71.7%, and 59.1% separately. Wetland areas decreased 56,108.2 hectares, for the first mid and last ten years, while wetland areas decreased by 2,503, 12,737.7, and 40,867.5 hectares separately. In the past 30 years, the type of 35% coastal wetland in Binhai New Area has changed (the change ratio of land use attribute type is 32.5%). The proportion of wetland change exceeds the proportion of overall land use. From the results of the land use transfer matrix, we can conclude that human activities are the fundamental driving factors for the change of coastal wetland. With the advancement of urbanization and industrialization in the region, the coastal wetland system has degraded significantly. Therefore, the spatiotemporal changes of wetlands in Binhai New Area are policy-oriented, and human activities are the driving factors for the reduction and type changes of wetlands in Binhai New Area.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122407456","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

A Conceptual Framework for Multi-Scale Representation of Geospatial Vector Data 地理空间矢量数据多尺度表示的概念框架

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687653

Zhenkai Yang, Huping Cui, Fei Yang

引用次数: 0

Land use and spatiotemporal pattern evolution of a mountain city agglomeration: A case study of the urban agglomeration in Dianzhong (central Yunnan), southwestern China 山地城市群土地利用与时空格局演变——以滇中滇中城市群为例

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687664

Juping Wu, Dashuai Gao, Yujun Pan

{"title":"Land use and spatiotemporal pattern evolution of a mountain city agglomeration: A case study of the urban agglomeration in Dianzhong (central Yunnan), southwestern China","authors":"Juping Wu, Dashuai Gao, Yujun Pan","doi":"10.1109/ieeeconf54055.2021.9687664","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687664","url":null,"abstract":"Land use is attracting increasing amounts of attention in today's society. Taking the central Yunnan city cluster as an example, in this study, a quantitative method was used to study the evolution of land use and its spatial-temporal patterns. The results show that (1) in general, from 2000 to 2018, the area of construction land increased significantly, while the area of cultivated land and grassland decreased dramatically, and the area of woodland decreased slightly. In recent years, the water area increased, but the growth rate was slow and unstable, exhibiting a spiral growth trend. (2) From the perspective of land-use change, the overall rate of the land-use change in the study area was variable. For example, the rate of change of construction land was relatively fast compared with those of other land-use types. The rates of change of the forest area and water area were relatively slow. The drastic spatial changes in land use were mainly concentrated in the cultivated land, grassland, and construction land. The four types of land use experienced significant mutual transformations, among them, grassland, cultivated land, woodland, and construction land experienced the most significant transformations. (3) From the perspective of the evolution of the spatiotemporal pattern, the rate of change of the spatial patterns of all of the land-use types in the central Yunnan urban agglomeration increased, and the areas with drastic spatial changes were mainly concentrated in the grassland, arable land, and woodland. The construction land expanded in the northeast and southeast directions, which was related to the urbanization process and the regional economic development center of the central Yunnan urban agglomeration.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"483 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116389190","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

Simulating urban land-use changes by incorporating logistic regression and CLUE-S model: a case study of Wuhan city 基于logistic回归和CLUE-S模型的城市土地利用变化模拟——以武汉市为例

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687640

K. Peng, Weiguo Jiang, Yue Deng

引用次数: 0

Assessment of Visual Privacy and Its Change in Dense Urban Environments 密集城市环境下的视觉隐私评价及其变化

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687642

He Zheng, Bo Wu, Hui Lin

{"title":"Assessment of Visual Privacy and Its Change in Dense Urban Environments","authors":"He Zheng, Bo Wu, Hui Lin","doi":"10.1109/ieeeconf54055.2021.9687642","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687642","url":null,"abstract":"Great efforts have been made to evaluate the residential environment under the urban expansion, while residential visual exposure relating to privacy is rarely involved. This paper introduces a quantitative indicator, namely, the Potential Visual Exposure Index (PVEI), to assess visual privacy by measuring the damage of potential visual incursion from public spaces and neighborhoods in high-density residences. To validate the proposed PVEI, a case study with a neighborhood located at the center of Kowloon, Hong Kong, was evaluated. Moreover, the PVEI change of each residential opening was further detected and calculated by considering a newly built dwelling. The results were under the common-sense notion that lower floors are subjected to poor visual privacy, and privacy is relatively well-preserved in upper floors in a building. However, residents of middle floors may suffer the worst circumstances concerning visual privacy. With the involvement of the newly built dwelling, significant PVEI changes can be found on the north of the neighborhood, where the newly built dwelling is located. The PVEI can be a useful indicator to assess visual privacy for optimal control of new buildings in the early design stage.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128593770","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

An Analysis on Spatio-temporal Evolution of Human-land Interaction in China Based on Big Data 基于大数据的中国人地互动时空演化分析

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687508

Wenhua Guo, Wenchao Liu, Yuhan Zhang, Naping Wang

引用次数: 0

Changes in the Coastline and a Reduction in Area of the Bohai Sea from 2000 to 2016 2000 - 2016年渤海岸线变化与面积缩减

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687654

Xiaoyu Sun, T. Lv, Yi Gao

{"title":"Changes in the Coastline and a Reduction in Area of the Bohai Sea from 2000 to 2016","authors":"Xiaoyu Sun, T. Lv, Yi Gao","doi":"10.1109/ieeeconf54055.2021.9687654","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687654","url":null,"abstract":"Intense development has been occurring along the shores of the Bohai Sea that threatens to increase local levels of pollution. A need existed to extract the coastline data of the Bohai Sea from remote sensing images to document changes in the coastline. Landsat imagery from 2000 and 2016 was used to analyze the temporal-spatial changes along this coastline. The results showed that the total length of the coastline increased by 1 111.5 km (40%) during this period. In addition, development has caused the conversion of natural coastline to man-made coastline, and the length of total man-made coastline increased by 1 532.9 km. Among three bays (Bohai, Liaodong, and Laizhou bay), Bohai Bay experienced the greatest increase in the coastline. The lengths of total coastline and the related man-made coastline both doubled a change that also involved a drastic reduction in sea area. The total area of the Bohai Sea declined by 2 360 km2 from 2000 to 2016 to 75 200 km2. Bohai and Laizhou bays both experienced a nearly 10% reduction in their respective original areas. Specifically, Bohai Bay lost 1 165 km2 of area, accounting for half of the total reduction in the area of the Bohai Sea during this time period. More than 95% of lost sea area was converted to enclosures for aquaculture or used for the construction of harbors, docks, and industrial parks. The reduction of sea area and changes in the hydrodynamic environment will affect the environmental carrying capacity of the Bohai Sea.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124409029","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

Realtime Remote Sensing Image Publishing System Based on COG Technology 基于COG技术的实时遥感图像发布系统

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687665

Jing Yu, Hang Yang, Haotian Sun, Yuan-yuan Wang, Kun Chen, Yang Yu, Yu You

引用次数: 0

Are high distributed streetscapes also located in the high social interaction streets? A Space syntax approach on street liveability assessment 高分布的街景是否也位于高社交性的街道上?街道宜居性评价的空间句法方法

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687512

Shalika Dharmasthala, Qian Sun, N. Langenheim

{"title":"Are high distributed streetscapes also located in the high social interaction streets? A Space syntax approach on street liveability assessment","authors":"Shalika Dharmasthala, Qian Sun, N. Langenheim","doi":"10.1109/ieeeconf54055.2021.9687512","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687512","url":null,"abstract":"Cities should be built for people and planned for potential changes with high efficiency. Well-distributed streetscapes in neighborhoods are proved to bring co-benefits of health, active transport, and social equity. This paper provides an innovative framework to interrogate the spatial and social configurations of streetscapes for the City of Greater Bendigo, Australia. The primary research goal is to investigate whether those high distributed streetscapes are also located in the high social interaction streets. The social configuration of streetscapes refers to the degree of integration, connectivity and visibility within a street network and the spatial configuration of streetscapes refers to the percentage of sky, building and trees at any point in the streetscape. The social configurations of streetscapes along street network were measured using space syntax tools and GIS. Space syntax parameters (degree of integration, connectivity and visibility) representing the social interaction level of streets were integrated into the spatial distribution of streetscapes (sky, building, and trees) for analysis. Results showed that Bendigo locality area poses the highest social integration and connectivity. High localized connectivity was observed in the townships of Heathcote and Marong, while recommendation can be made for Heathcote and White Hill area to improve the street network integration and connectivity so as to promote neighborhood liveability. The results also showed that the percentage of older population and population density were positively associated with social connectivity, indicating higher settlements in well-connected townships. Findings from this research can contribute to design more sustainable and efficient streetscapes through our scalable methodological framework.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131169301","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

Research on Domain Variable Identification among Different Data Cubes 不同数据立方体间域变量识别研究

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687644

Yanling Yang, Jinsongdi Yu, R. Tong

引用次数: 1