Pub Date : 2019-11-13DOI: 10.5772/intechopen.86121
Cláudia M. Viana, Patrícia Abrantes, Jorge Rocha
{"title":"Introductory Chapter: Geographic Information Systems and Science","authors":"Cláudia M. Viana, Patrícia Abrantes, Jorge Rocha","doi":"10.5772/intechopen.86121","DOIUrl":"https://doi.org/10.5772/intechopen.86121","url":null,"abstract":"","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"95 30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199050","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}
Pub Date : 2019-01-30DOI: 10.5772/INTECHOPEN.82417
L. Chien, Jingcheng Wu, Wen-Chien Tseng
The issue of soil liquefaction has been investigated widely in the past 50 years. However, there is no an integrated method have been considered for the factors between regions ’ vulnerability of soil liquefaction and resilience capacity to perform the risk assessment of soil liquefaction hazard. This study selects Yunlin and Chiayi County as a demonstration area, and uses Model Builder of geo-processing models to connect multiple analysis processes, the liquefaction risk distribution in Yun-Chia Plain ’ s area is carried out in 100 (cid:1) 100 m grid map scale by GIS. The study results could provide the reference of land development and management in Taiwan.
在过去的 50 年中，人们对土壤液化问题进行了广泛的研究。然而，目前尚未有一套完整的方法，可考量各區域土壤液化脆弱性與復原能力間的因素，進行土壤液化危害風險評估。本研究選定雲林、嘉義兩縣為示範區，利用地質處理模型 Model Builder 連結多項分析流程，以 GIS 以 100 (cid:1) 100 m 方格地圖比例進行雲嘉平原區域液化風險分佈，並進行土壤液化風險評估。研究結果可為台灣土地開發與管理提供參考。
{"title":"The Study of Risk Assessment of Soil Liquefaction on Land Development and Utilization by GIS in Taiwan","authors":"L. Chien, Jingcheng Wu, Wen-Chien Tseng","doi":"10.5772/INTECHOPEN.82417","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.82417","url":null,"abstract":"The issue of soil liquefaction has been investigated widely in the past 50 years. However, there is no an integrated method have been considered for the factors between regions ’ vulnerability of soil liquefaction and resilience capacity to perform the risk assessment of soil liquefaction hazard. This study selects Yunlin and Chiayi County as a demonstration area, and uses Model Builder of geo-processing models to connect multiple analysis processes, the liquefaction risk distribution in Yun-Chia Plain ’ s area is carried out in 100 (cid:1) 100 m grid map scale by GIS. The study results could provide the reference of land development and management in Taiwan.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127135880","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}
Pub Date : 2019-01-24DOI: 10.5772/INTECHOPEN.82748
Wenjie Huang, M. Ling
System resilience, the capability of a system to sustain and recover from deliberate attacks, accidents, or naturally occurring threats or incidents, is a key property to measure the degree of robustness and coupling effect of complex system. The systems of waste disposal, urban water supply, and electricity transmission are typical systems with complex and high coupling features. In this chapter, a methodology for measuring the system resilience of such systems is proposed. It is a process of integrated decision-making which contains two aspects: (1) a five-dimensional indicator framework of system resilience which includes attributes in infrastructural, economic, and social sectors and (2) a hybrid K-means algorithm, which combines entropy theory, bootstrapping, and analytic network process. Through utilizing real data, the methodology can assist to identify and classify the level of system resilience for different geographical regions which are sustained by lifeline systems. The calculation of algorithm, visualization of processed data, and classification of resilience level can be finally realized in geographic information system. Through utilizing by regional governments and local communities, the final result can serve to provide guideline for resource allocation and the prevention of huge economic loss in disasters.
{"title":"Machine Learning-Based Method for Urban Lifeline System Resilience Assessment in GIS*","authors":"Wenjie Huang, M. Ling","doi":"10.5772/INTECHOPEN.82748","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.82748","url":null,"abstract":"System resilience, the capability of a system to sustain and recover from deliberate attacks, accidents, or naturally occurring threats or incidents, is a key property to measure the degree of robustness and coupling effect of complex system. The systems of waste disposal, urban water supply, and electricity transmission are typical systems with complex and high coupling features. In this chapter, a methodology for measuring the system resilience of such systems is proposed. It is a process of integrated decision-making which contains two aspects: (1) a five-dimensional indicator framework of system resilience which includes attributes in infrastructural, economic, and social sectors and (2) a hybrid K-means algorithm, which combines entropy theory, bootstrapping, and analytic network process. Through utilizing real data, the methodology can assist to identify and classify the level of system resilience for different geographical regions which are sustained by lifeline systems. The calculation of algorithm, visualization of processed data, and classification of resilience level can be finally realized in geographic information system. Through utilizing by regional governments and local communities, the final result can serve to provide guideline for resource allocation and the prevention of huge economic loss in disasters.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126061671","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}
Pub Date : 2019-01-16DOI: 10.5772/INTECHOPEN.81955
H. Omar, M. A. Misman, S. Musa
Malaysia is one of the few South East Asian counties with large tracts of mangroves. They provide ecosystem goods and services to the environment and the surroundings regarding shoreline stabilization, storm protection, water quality maintenance, micro-climate stabilization, recreation, tourism, fishing and supply of various forest products. Despite extensive distribution of the mangroves, threats posed by different land use activities are inevitable. Therefore, knowledge on mangroves distribution and change is importance for effective management and making protection policies. Although remote sensing (RS) and geographic information system (GIS) has been widely used to characterize and monitor mangroves change over a range of spatial and temporal scales, studies on mangroves change in Malaysia is lacking. Effective mangrove management is vital via acquiring knowledge on forest distribution and changes to establish protection policies. This chapter will elaborate technically how GIS and RS were utilized to identify, map, and monitor changes of mangroves ecosystem in Malaysia. It also highlights how GIS can enhance the current governance and regulations related to forestry in Malaysia.
{"title":"GIS and Remote Sensing for Mangroves Mapping and Monitoring","authors":"H. Omar, M. A. Misman, S. Musa","doi":"10.5772/INTECHOPEN.81955","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.81955","url":null,"abstract":"Malaysia is one of the few South East Asian counties with large tracts of mangroves. They provide ecosystem goods and services to the environment and the surroundings regarding shoreline stabilization, storm protection, water quality maintenance, micro-climate stabilization, recreation, tourism, fishing and supply of various forest products. Despite extensive distribution of the mangroves, threats posed by different land use activities are inevitable. Therefore, knowledge on mangroves distribution and change is importance for effective management and making protection policies. Although remote sensing (RS) and geographic information system (GIS) has been widely used to characterize and monitor mangroves change over a range of spatial and temporal scales, studies on mangroves change in Malaysia is lacking. Effective mangrove management is vital via acquiring knowledge on forest distribution and changes to establish protection policies. This chapter will elaborate technically how GIS and RS were utilized to identify, map, and monitor changes of mangroves ecosystem in Malaysia. It also highlights how GIS can enhance the current governance and regulations related to forestry in Malaysia.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132409939","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}
Pub Date : 2019-01-09DOI: 10.5772/INTECHOPEN.82004
Nuggehalli Narayanachar Ramaprasad, P. Narayanan
The potential of identifying the position of the observer in the geographical system in relation with neighbouring details and the instantaneous communication to the web server has created big data in geographic information, which has evolved in web Geographical Information System (GIS). Web GIS server provides the most reliable information in real-time. The technology is in its newbie has fascinated every age group to become the member of Web GIS. The use of technology and services are so user-friendly that even a layperson can handle without errors. The technology is finding its way in many service sectors like E-Commerce, vigilance, security and real-time tracking. The scope of expansion of this technology regarding the user community and knowledge utilisation awaits its versatility. The augmen-tation of techniques with its unique combinations has resulted in the building blocks of innovation and citizen-friendly apps. The growing user community is, in turn, encouraging the amateurs and professional to contribute to it. The web GIS facilitated service sector employment, which provides service at doorsteps, hence creating a scope of opportunities for young entrepreneurs.
{"title":"Volunteered Geographic Information System and Its Contribution in Service Sector Employment","authors":"Nuggehalli Narayanachar Ramaprasad, P. Narayanan","doi":"10.5772/INTECHOPEN.82004","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.82004","url":null,"abstract":"The potential of identifying the position of the observer in the geographical system in relation with neighbouring details and the instantaneous communication to the web server has created big data in geographic information, which has evolved in web Geographical Information System (GIS). Web GIS server provides the most reliable information in real-time. The technology is in its newbie has fascinated every age group to become the member of Web GIS. The use of technology and services are so user-friendly that even a layperson can handle without errors. The technology is finding its way in many service sectors like E-Commerce, vigilance, security and real-time tracking. The scope of expansion of this technology regarding the user community and knowledge utilisation awaits its versatility. The augmen-tation of techniques with its unique combinations has resulted in the building blocks of innovation and citizen-friendly apps. The growing user community is, in turn, encouraging the amateurs and professional to contribute to it. The web GIS facilitated service sector employment, which provides service at doorsteps, hence creating a scope of opportunities for young entrepreneurs.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121472458","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}
Pub Date : 2018-11-27DOI: 10.5772/INTECHOPEN.82052
J. Ki
Geographic information system (GIS) has expanded its area of applications and services into various fields, from geo-positioning service to three dimensional demonstration and virtual reality. Big data analysis and its visualization tools boosters the capacity of GIS, especially in graphics and visual demonstration. In this chapter, I describe major traits of big data and its spatial analysis with visualization. And then I will find a linkage between big data and GIS. There are several GIS-based software and geo-web that deal with big data or similar scaled databases, such as ArcGIS, Google Earth, Google Map, Tableau, and InstantAtlas. For these software and websites are developed based on geography or location, they still have some limits in visualizing big data or persuading people with maps or graphics. I will search a way out of this limitation of GIS-based tools and show an alternative way to visualize big data and demonstrate thematic maps. This chapter will be a useful guide to lead GIS people into a new horizon of big data visualization.
{"title":"GIS and Big Data Visualization","authors":"J. Ki","doi":"10.5772/INTECHOPEN.82052","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.82052","url":null,"abstract":"Geographic information system (GIS) has expanded its area of applications and services into various fields, from geo-positioning service to three dimensional demonstration and virtual reality. Big data analysis and its visualization tools boosters the capacity of GIS, especially in graphics and visual demonstration. In this chapter, I describe major traits of big data and its spatial analysis with visualization. And then I will find a linkage between big data and GIS. There are several GIS-based software and geo-web that deal with big data or similar scaled databases, such as ArcGIS, Google Earth, Google Map, Tableau, and InstantAtlas. For these software and websites are developed based on geography or location, they still have some limits in visualizing big data or persuading people with maps or graphics. I will search a way out of this limitation of GIS-based tools and show an alternative way to visualize big data and demonstrate thematic maps. This chapter will be a useful guide to lead GIS people into a new horizon of big data visualization.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133716235","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}
Pub Date : 2018-11-15DOI: 10.5772/INTECHOPEN.82008
Duanshun Li, Ming Lu, R. Wales
This chapter introduces GoogleEarthWork which is an augmented geographic information system (GIS) based on Google Earth to manage and visualize heterogeneous site information, especially 3D models, aerial and ground images, panoramas, and GIS data of the site environment. The concept is to realize a highly automated end-to-end earthwork construction planning system that is able to generate project management deliverables from heterogeneous information and enhance the usefulness and intelligence of GIS for better project planning and control in earthwork construction. With identified constraints from the augmented Google Earth, the earthwork planning problem is formulated, and an optimized executable plan can be automatically generated, including work breakdown structure and project network model. Demonstration cases are provided to prove concepts of and illustrate functionalities of GoogleEarthWork in support of earthwork construction planning in realistic settings.
GoogleEarthWork是一款基于GoogleEarth的增强地理信息系统(augmented geographic information system, GIS)，用于管理和可视化异构站点信息，特别是站点环境的三维模型、航拍和地面图像、全景图和GIS数据。其概念是实现一个高度自动化的端到端土方施工规划系统，该系统能够从异构信息中生成项目管理可交付成果，并增强GIS的有用性和智能，从而更好地规划和控制土方施工项目。通过增强Google Earth识别约束条件，制定土方工程规划问题，并自动生成优化的可执行计划，包括工作分解结构和项目网络模型。演示案例提供了证明的概念和说明功能的GoogleEarthWork在现实环境中支持土方施工规划。
{"title":"Google Earth Augmented for Earthwork Construction Planning","authors":"Duanshun Li, Ming Lu, R. Wales","doi":"10.5772/INTECHOPEN.82008","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.82008","url":null,"abstract":"This chapter introduces GoogleEarthWork which is an augmented geographic information system (GIS) based on Google Earth to manage and visualize heterogeneous site information, especially 3D models, aerial and ground images, panoramas, and GIS data of the site environment. The concept is to realize a highly automated end-to-end earthwork construction planning system that is able to generate project management deliverables from heterogeneous information and enhance the usefulness and intelligence of GIS for better project planning and control in earthwork construction. With identified constraints from the augmented Google Earth, the earthwork planning problem is formulated, and an optimized executable plan can be automatically generated, including work breakdown structure and project network model. Demonstration cases are provided to prove concepts of and illustrate functionalities of GoogleEarthWork in support of earthwork construction planning in realistic settings.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115681695","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}
Pub Date : 2018-11-14DOI: 10.5772/INTECHOPEN.82024
S. Issa, N. Saleous
Maintaining a healthy and sustainable environment is of paramount importance for human well-being and economic activity. Hence, environment protection, requiring continuous and reliable monitoring, has become a major mandate at various levels of government. There is a direct link between the availability of information about environmentally endangered areas and sound decision-making for effective and sustainable management. While remote sensing allows acquiring relevant information on a regular and repetitive basis even in areas where accessibility is limited, geographic information systems (GIS) provide unique tools for storing, processing, and integrating this information with other sources enabling the development of spatial models that help identify and characterize environmentally endangered areas. In this chapter, we will discuss how GIS-based modeling is applied for solving diverse environmental problems using case studies from United Arab Emirates.
{"title":"Modeling the Environment with Remote Sensing and GIS: Applied Case Studies from Diverse Locations of the United Arab Emirates (UAE)","authors":"S. Issa, N. Saleous","doi":"10.5772/INTECHOPEN.82024","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.82024","url":null,"abstract":"Maintaining a healthy and sustainable environment is of paramount importance for human well-being and economic activity. Hence, environment protection, requiring continuous and reliable monitoring, has become a major mandate at various levels of government. There is a direct link between the availability of information about environmentally endangered areas and sound decision-making for effective and sustainable management. While remote sensing allows acquiring relevant information on a regular and repetitive basis even in areas where accessibility is limited, geographic information systems (GIS) provide unique tools for storing, processing, and integrating this information with other sources enabling the development of spatial models that help identify and characterize environmentally endangered areas. In this chapter, we will discuss how GIS-based modeling is applied for solving diverse environmental problems using case studies from United Arab Emirates.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121057705","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}
Pub Date : 2018-11-05DOI: 10.5772/INTECHOPEN.81364
Koya Tsukahara, Kayoko Yamamoto
Recently, in Japan, the increase of aging population is especially rapid, the lack of nursing facilities has become a serious social issue, and the political measures against it are continuously enacted. Though the number of nursing facilities and its capacity are increasing, the utilization rate of such facilities remains at the same level, and the lack of facilities has not improved. Based on the background mentioned above, using geographic information systems (GIS) and public open data, the present study aims to quantitatively evaluate the current situation of nursing facility locations in urban areas within Japan. In the present study, the model of the p-median problem used to obtain the optimal location of facilities was modified, and a method to evaluate the current situation concerning the shortage or overage of nursing facilities by area was proposed. As evaluations are conducted using quantitative data, the evaluation results are also quantitative, making it an effective indicator for evaluating the locations of nursing facilities. Additionally, the specialization coefficient of the population aging rate and the distance between nursing facilities and areas were calculated based on public open data. Therefore, the evaluation method has a high temporal reproducibility as well as spatial reproducibility.
{"title":"Evaluation of Nursing Facility Locations Using the Specialization Coefficient of the Population Aging Rate","authors":"Koya Tsukahara, Kayoko Yamamoto","doi":"10.5772/INTECHOPEN.81364","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.81364","url":null,"abstract":"Recently, in Japan, the increase of aging population is especially rapid, the lack of nursing facilities has become a serious social issue, and the political measures against it are continuously enacted. Though the number of nursing facilities and its capacity are increasing, the utilization rate of such facilities remains at the same level, and the lack of facilities has not improved. Based on the background mentioned above, using geographic information systems (GIS) and public open data, the present study aims to quantitatively evaluate the current situation of nursing facility locations in urban areas within Japan. In the present study, the model of the p-median problem used to obtain the optimal location of facilities was modified, and a method to evaluate the current situation concerning the shortage or overage of nursing facilities by area was proposed. As evaluations are conducted using quantitative data, the evaluation results are also quantitative, making it an effective indicator for evaluating the locations of nursing facilities. Additionally, the specialization coefficient of the population aging rate and the distance between nursing facilities and areas were calculated based on public open data. Therefore, the evaluation method has a high temporal reproducibility as well as spatial reproducibility.","PeriodicalId":109719,"journal":{"name":"Geographic Information Systems and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129325379","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}
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