Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis最新文献_第3页

Accurate Metric Reconstructions of Historical Places Using Geomatics Techniques 利用地理信息技术对历史地点进行精确度量重建

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397074

Nawras Shatnawi

引用次数: 0

A Spatial Correlation Analysis of Seismic and Flooding Events: Application to Italy 地震和洪水事件的空间相关性分析:在意大利的应用

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397069

Alberto Bocca, A. Macii, E. Macii

引用次数: 0

Clustering Algorithms for Spatial Data Mining 空间数据挖掘的聚类算法

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397068

Chetashri Bhadane, K. Shah

{"title":"Clustering Algorithms for Spatial Data Mining","authors":"Chetashri Bhadane, K. Shah","doi":"10.1145/3397056.3397068","DOIUrl":"https://doi.org/10.1145/3397056.3397068","url":null,"abstract":"With the advances in mobile and wireless technologies, there has been a rise in applications that track and share the users' geospatial data. People use several social networking sites such as Twitter, Facebook and Flickr, where they share their status updates. With the integration of Global Positioning System (GPS) with mobile phones, it is now possible to share one's locations on these social networks. GPS allows us to record and track a person's movement along with the timestamp. The data set obtained from these GPS logs is vast and is widely used to analyze the users' movement patterns. Specifically, we can find out significant locations based on the number of users present at that location and the time spent by them at such places. Once significant places have been identified, it is also possible to identify the semantic importance of these locations. This paper presents an overview of the clustering techniques used to find important places of interest using large GPS based mobility datasets. Four clustering algorithms, K-Means, DBSCAN, OPTICS and Hierarchical, are implemented, and performance is tested using real-time data of 50 users collected over 2--5 years. Performance summary depicts that K-Means and DBSCAN perform well for spatial data.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118014","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

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis 2020年第三届国际地理信息与数据分析会议论文集

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056

引用次数: 0

Improving the Accuracy of RTK-GNSS Data in Digital Elevation Model 数字高程模型中RTK-GNSS数据精度的提高

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397071

Elshewy A. Mohamed, Yunusov G. Albert, Elsheshtawy M. Amr

{"title":"Improving the Accuracy of RTK-GNSS Data in Digital Elevation Model","authors":"Elshewy A. Mohamed, Yunusov G. Albert, Elsheshtawy M. Amr","doi":"10.1145/3397056.3397071","DOIUrl":"https://doi.org/10.1145/3397056.3397071","url":null,"abstract":"Digital Elevation Model (DEM) is repeatedly used to indicate any digital representation of a topographic surface. DEM is used widely in General mapping applications, Transportation applications, Military applications, GIS, natural resources exploration, etc. Real Time Kinematic (RTK) is fast and low-cost techniques in surveying works, especially in DEM, but sometimes the resulting accuracy is less than the required accuracy. In this investigation, the accuracy of RTK elevations data was improved by using Simple Linear Regression (SLR) model. Total Station and RTK have been used to determine the elevations of a small part of the land and included as inputs to create the SLR model for improving the rest of RTK elevation data for the rest of the land. The study shows a series of significant improvements of the RTK data when using SLR model. To assess the results, the improved heights of the rest of the land have been compared with the heights obtained from the Total Station data. For creating the SLR model, It's not necessary to huge data but sufficient about 10% of the data. The significance of this study is to enable the use of RTK data in DEM works accurately and make it suits for the accuracy of most engineering works.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123056965","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

Research on Construction of Quality Service Platform of Survey and Mapping 测绘质量服务平台建设研究

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397078

J. Ge, Wenli Han, Xunhu Zhang, Jin Zhou

引用次数: 0

Analysis of Spatial Heterogeneity and Influencing Factors of Urban Traffic Congestion Based on GIS 基于GIS的城市交通拥堵空间异质性及影响因素分析

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397059

Sheng Ye, Zong He, Yahui Jia, Yachen Luo

{"title":"Analysis of Spatial Heterogeneity and Influencing Factors of Urban Traffic Congestion Based on GIS","authors":"Sheng Ye, Zong He, Yahui Jia, Yachen Luo","doi":"10.1145/3397056.3397059","DOIUrl":"https://doi.org/10.1145/3397056.3397059","url":null,"abstract":"Traffic congestion not only causes significant losses to city economy, but also seriously affects the happiness index of urban residents. Different from the specific and detailed research perspective of traditional traffic congestion, this paper attempts to study urban traffic congestion from a relatively macro perspective. The real-time traffic data, building survey data, Gaode POI data, bus stops data, urban road, population data, DEM data are collected. The spatial heterogeneity law of urban traffic congestion and its influencing factors are analyzed by GIS. The analysis found that:(1) Traffic congestion in Chongqing is \"heavy in the north and light in the south\", and the business district has a relatively obvious impact on traffic congestion. (2) Population density and commercial POI have a great impact on traffic congestion. For every 0.1 percentage point increase in the proportion of commercial POI, the average traffic jam time increased by 0.09 hours. (3) The number of bus stops can significantly alleviate traffic congestion. For every additional bus station, the traffic congestion time in this area can be reduced by 0.05 hours. (4) Increasing road density cannot effectively solve the problem of traffic congestion, which once again proves the correctness of \"down Law\". (5) Within the community, increasing the diversity of land use cannot effectively relieve traffic congestion.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925907","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

User-based Adaptive Software Development for Gamified Systems 基于用户的游戏化系统自适应软件开发

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397088

Wael El-Gammal, N. Sherief, W. Abdelmoez

{"title":"User-based Adaptive Software Development for Gamified Systems","authors":"Wael El-Gammal, N. Sherief, W. Abdelmoez","doi":"10.1145/3397056.3397088","DOIUrl":"https://doi.org/10.1145/3397056.3397088","url":null,"abstract":"During the last few years many researchers have attempted to find a way to implement gamified systems that are adaptively personalized based on user types. Gamification, which is the use of game elements in a non-game context in a way that makes it like a game helps in increasing users' engagement. Thus, software engineers cannot follow the approach of \"One size fit all\" anymore as in the traditional software design. That is because different people are motivated with different ways and with different mechanics and dynamics based on their needs and personalities. This paper focuses on devising means to develop personalized gamified systems based on user types. We suggest achieving that by changing the gamification elements themselves and not to only adapt the game mechanics and dynamics values based on user types to get the most users' engagement, satisfaction and performance while using the developed software. We propose a method that provides a systematic process that guides the software engineers in designing adaptive gamified systems based on user types by mapping them to gamification elements. Moreover, to formalize the proposed method we develop an ontology that implements the mappings between game elements and user types by defining rules that govern their usage. The method also provides a systematic means to modify the system at runtime (i.e. while the system is in use) based on the users' preference and behavior by changing the existing elements based on the usage of each user.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114681367","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

Simulation of Urban Expansion in Estonia for 2046 Using Cellular Automata Model Based on the CORINE Land Cover Database 基于CORINE土地覆盖数据库的元胞自动机模型模拟爱沙尼亚2046年城市扩张

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397057

Najmeh Mozaffaree Pour, T. Oja

引用次数: 1

Linear Symbol Plotting Algorithm Based on Centripetal Catmull-Rom Spline 基于向心Catmull-Rom样条的线性符号绘图算法

Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis Pub Date : 2020-04-15 DOI: 10.1145/3397056.3397073

Nanyu Chen, Yao Li, Luo Chen

引用次数: 0