Remote Sensing Geographical Information Systems And Spatial Modeling For Analyzing Public Transit Services
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| Author | : Changshan Wu |
| Publisher | : |
| Total Pages | : |
| Release | : 2003 |
| Genre | : Geographic information systems |
| ISBN | : |
Abstract: Public transit service is a promising transportation mode because of its potential to address urban sustainability. Current ridership of public transit, however, is very low in most urban regions, particularly those in the United States. This woeful transit ridership can be attributed to many factors, among which poor service quality is key. Given this, there is a need for transit planning and analysis to improve service quality. Traditionally, spatially aggregate data are utilized in transit analysis and planning. Examples include data associated with the census, zip codes, states, etc. Few studies, however, address the influences of spatially aggregate data on transit planning results. In this research, previous studies in transit planning that use spatially aggregate data are reviewed. Next, problems associated with the utilization of aggregate data, the so-called modifiable areal unit problem (MAUP), are detailed and the need for fine resolution data to support public transit planning is argued. Fine resolution data is generated using intelligent interpolation techniques with the help of remote sensing imagery. In particular, impervious surface fraction, an important socio-economic indicator, is estimated through a fully constrained linear spectral mixture model using Landsat Enhanced Thematic Mapper Plus (ETM+) data within the metropolitan area of Columbus, Ohio in the United States. Four endmembers, low albedo, high albedo, vegetation, and soil are selected to model heterogeneous urban land cover. Impervious surface fraction is estimated by analyzing low and high albedo endmembers. With the derived impervious surface fraction, three spatial interpolation methods, spatial regression, dasymetric mapping, and cokriging, are developed to interpolate detailed population density. Results suggest that cokriging applied to impervious surface is a better alternative for estimating fine resolution population density. With the derived fine resolution data, a multiple route maximal covering/shortest path (MRMCSP) model is proposed to address the tradeoff between public transit service quality and access coverage in an established bus-based transit system. Results show that it is possible to improve current transit service quality by eliminating redundant or underutilized service stops. This research illustrates that fine resolution data can be efficiently generated to support urban planning, management and analysis. Further, this detailed data may necessitate the development of new spatial optimization models for use in analysis.
| Author | : Biswajeet Pradhan |
| Publisher | : Springer |
| Total Pages | : 337 |
| Release | : 2017-05-08 |
| Genre | : Science |
| ISBN | : 3319542176 |
This book discusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development) in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact form and eventually sustainable manner.
| Author | : Basudeb Bhatta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 191 |
| Release | : 2010-03-03 |
| Genre | : Science |
| ISBN | : 3642052991 |
This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.
| Author | : Kali Charan Sahu |
| Publisher | : Atlantic Publishers & Dist |
| Total Pages | : 520 |
| Release | : 2007-12 |
| Genre | : Geographic information systems |
| ISBN | : 9788126909094 |
Remote Sensing Technology In India Started In The 1960S. Space Technology Was Developed During The 1970S And 1980S To Use Satellites And Sensors In The Areas Of Communication To Exploit Meteorological And Ground Resources. Like Some Other Developing Countries, India Could Bypass The Intermediate Technology Stage And Leapfrog Into The High Technology Area.India S First Satellite In Irs Series Was Irs-1A, Launched In March 1988 By A Russian Vostok Launch Vehicle. Our Space Technology Has Attained Momentum And Made Tremendous Achievements By Launching The Oceansat-1 For Ocean Resources Monitoring; Resourcesat-1 For Agricultural Applications; And Cartosat-1 With A High Resolution Panchromatic Camera For Cartographic Applications. In India, The Remote Sensing Technology Along With Geographic Information System (Gis) Is Widely Being Used For More Than Two Decades For Inventorying, Mapping And Monitoring Of Earth Resources, And For Mitigation And Management Of Natural Disasters. In Days To Come It Will Become The Most Powerful Tool For Management And Distribution Of Information For Various Purposes.This Book Is Solely Written To Meet The Requirements Of Undergraduate Courses In B.E. (Civil Engineering), B.Tech (Geoinformatics), The Postgraduate Courses And M.Tech In Remote Sensing, Postgraduate Diploma In Remote Sensing And Gis, And M.E (Geoinformatics) Of Various Universities And Institutions. Topics Are Covered With Adequate Tables And Illustrations Essential To An Introductory Text. The Book Offers Key Concepts With The Use Of Simple And Limited Mathematics. Digital Image Processing, Which Forms The Backbone Of The Book, Is Dealt With Special Care. The Book Explains Fundamental Basis Of Gis Technology, Spatial Data Modeling, Attributes Data Management, Gis Data Analysis And Modeling. It Will Also Serve As An Ideal Reference Book For Researchers In This Field And Practical Users Of This Technology.
| Author | : Martin Wegmann |
| Publisher | : Pelagic Publishing Ltd |
| Total Pages | : 372 |
| Release | : 2020-09-14 |
| Genre | : Science |
| ISBN | : 1784272140 |
This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts
| Author | : National Research Council (U.S.). Committee for Conferences on Remote Sensing and Spatial Information Technologies for Transportation |
| Publisher | : Transportation Research Board |
| Total Pages | : 98 |
| Release | : 2003 |
| Genre | : Transportation |
| ISBN | : 0309085519 |
These proceedings summarize the highlights from the Conference on Remote Sensing for Transportation--Products and Results: Foundations for the Future. This was the second in a series of three conferences on the subject of remote sensing in transportation. The objectives of this conference were: (1) Enhancing communication between the transportation and remote sensing communities; (2) Developing a common understanding of current successful applications of remote sensing to transportation; and (3) Crafting strategies for implementation of remote sensing in transportation. More than 150 people attended the conference, with representation from state departments of transportation, metropolitan planning organizations, local government, the U.S. Department of Transportation, other federal agencies, universities, the private sector, and other organizations. The proceedings consist of a Foreward and Introduction to the Proceedings, comments on the structure of the 2001 conference and proceedings, summaries of the 7 sessions, and the following appendices: (A) Summary of Roundtable for States and Metropolitan Planning Organizations; (B) Conference Workshop Information; (C) Listing of Technology Buffet Displays; (D) Abbreviations and Acronyms; and (E) Conference Participants.
| Author | : Monika Kannan |
| Publisher | : CRC Press |
| Total Pages | : 274 |
| Release | : 2020-11-29 |
| Genre | : Science |
| ISBN | : 1000225976 |
Geographical Information System and Crime Mapping features a diverse array of Geographic Information System (GIS) applications in crime analysis, from general issues such as GIS as a communication process, interjurisdictional mapping and data sharing to specific applications in tracking serial killers and predicting violence-prone zones. It supports readers in developing and implementing crime mapping techniques. The distribution of crime is explained with reference to theories of human ecology, transport network, built environment, housing markets, and forms of urban management, including policing. Concepts are supported with relevant case studies and real-time crime data to illustrate concepts and applications of crime mapping. Aimed at senior undergraduate, graduate students, professionals in GIS, Crime Analysis, Spatial Analysis, Ergonomics and human factors, this book: Provides an update of GIS applications for crime mapping studies Highlights growing potential of GIS for crime mapping, monitoring, and reduction through developing and implementing crime mapping techniques Covers Operational Research, Spatial Regression model, Point Analysis and so forth Builds models helpful in police patrolling, surveillance and crime mapping from a technology perspective Includes a dedicated section on case studies including exercises and data samples
| Author | : Esra Ozdenerol |
| Publisher | : CRC Press |
| Total Pages | : 193 |
| Release | : 2016-08-05 |
| Genre | : Medical |
| ISBN | : 1315354594 |
The neighborhoods and the biophysical, political, and cultural environments all play a key role in affecting health outcomes of individuals. Unequal spatial distribution of resources such as clinics, hospitals, public transportation, fresh food markets, and schools could make some communities as a whole more vulnerable and less resilient to adverse health effects. This somber reality suggests that it is rather the question of "who you are depends upon where you are" and the fact that health inequality is both a people and a place concern. That is why health inequality needs to be investigated in a spatial setting to deepen our understanding of why and how some geographical areas experience poorer health than others. This book introduces how spatial context shapes health inequalities. Spatial Health Inequalities: Adapting GIS Tools and Data Analysis demonstrates the spatial health inequalities in six most important topics in environmental and public health, including food insecurity, birth health outcomes, infectious diseases, children’s lead poisoning, chronic diseases, and health care access. These are the topics that the author has done extensive research on and provides a detailed description of the topic from a global perspective. Each chapter identifies relevant data and data sources, discusses key literature on appropriate techniques, and then illustrates with real data with mapping and GIS techniques. This is a unique book for students, geographers, clinicians, health and research professionals and community members interested in applying GIS and spatial analysis to the study of health inequalities.
| Author | : Peter M. Atkinson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 300 |
| Release | : 1999-09-09 |
| Genre | : Science |
| ISBN | : |
An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications. With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.
| Author | : R. B. Singh |
| Publisher | : Springer Nature |
| Total Pages | : 495 |
| Release | : 2022-04-24 |
| Genre | : Science |
| ISBN | : 981167731X |
The management of data to understand complex and interwoven processes of sustainable development has been a great challenge for researchers, planners, and decision makers. Remote sensing and GIS-based policy decision support systems not only help them to solve spatially related environmental and socio-economic issues; they also provide a powerful tool for integrating spatial and non-spatial datasets with analytical and spatial models and knowledge domains. Recent advances in the modern spatial tools of remote sensing and GIS combined with advanced computation techniques have enhanced the efficiency and capabilities of policy development. This book expands the scientific knowledge base in various physical and socio-economic issues among scholars, planners, and decision makers for policy development and research regarding sustainable development. It also demonstrates the importance of modern spatial decision support tools of remote sensing and GIS to better understand sustainable development processes and policy development. Furthermore, the book discusses case studies providing new insights as to how remote sensing and GIS-based decision support systems contribute to understanding physical and socio-economic processes and developing pragmatic policy for sustainable development. This book covers land surface temperature, hydrological processes, terrain mapping, flood and landslide hazards, land use and land cover dynamics, crime hotspots, urban health issues, tourism, agriculture, forest management, flood mitigation, urban sprawl, and village information systems, among others. Readers will find this book to be an invaluable resource for understanding and solving diverse physical and human issues for policy development related to sustainable planning and management.
