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  • Books  (4)
  • Environmental sciences Social aspects.  (4)
  • Singapore :Springer Nature Singapore :  (4)
  • 910.285  (4)
  • 1
    Online Resource
    Online Resource
    Temporal and Spatial Environmental Impact of the COVID-19 Pandemic (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Natural disasters. ; Environmental sciences Social aspects. ; Atmospheric science. ; Geographical Information System. ; Natural Hazards. ; Environmental Social Sciences. ; Atmospheric Science.
    Description / Table of Contents: Overview Of Geospatial Science And Technology -- Geospatial Appraisal Of Vegetation Health And Air Quality Of Delhi During Pre And Post Lockdown Phase Through Multi-Criteria Decision Model -- Pandemic Effect Of Covid-19: Identification, Present Scenario And Preventive Measures -- Impact Of Lockdown (Covid-19) On Air Pollution In India -- Impact Of Covid-19 Pandemic On Environmental Awareness: A Case Study Of Hyderabad City -- Examination Of Radiation Distribution And Its Relation With Stress Degree Day Index In Some Crops Of Yamne River Catchment In Arunachal Pradesh During Pre And Post Covid Times -- Covid 19 And Its Impact On Urban Health Care System -- Impact Of Covid-19 Pandemic On Education Sector Of Kashmir Valley Its Challenges And Future Prospects -- A Study On Socio-Economic Impact Of Covid 19 Pandemic On Tour Operators Of Vishakhapatnam City, Andhra Pradesh -- A Study On Problems Faced By The Street Vendors In Hyderabad City Post Covid-19 Pandemic.
    Abstract: This book identifies, evaluates and reports the impacts of the COVID-19 pandemic on the physical, biological and socioeconomic environment, using the science and technology of geoinformatics. It encourages the environmental considerations in the future city and policy planning and decision-making. For example, according to the World Health Organization, 80% of people living in cities are exposed to polluted air that exceeds healthy levels. City planners have applied the developing concepts of sustainability to modern debates over how cities and regions should be reviewed, regenerated and reformed since the introduction of the concept in developmental science. During the COVID-19 pandemic, a remarkable drop in air pollution has been observed in India and other countries, which has accelerated the shift to green and sustainable development. Geoinformatics can provide solutions and resources for local, sustainable activities in education, health, sustainable agriculture, resource management and related fields. This book serves researchers in a variety of areas, including hazards, land surveys, remote sensing, cartography, geophysics, geology, natural resources, environment and geography.
    Type of Medium: Online Resource
    Pages: X, 155 p. 68 illus., 67 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819919345
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-99-1934-5
    DOI: 10.1007/978-981-99-1934-5
    DDC: 910.285
    Language: English
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  • 2
    Online Resource
    Online Resource
    Spatially Explicit Hyperparameter Optimization for Neural Networks (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Artificial intelligence. ; Environmental sciences Social aspects. ; Economic geography. ; Geographical Information System. ; Artificial Intelligence. ; Environmental Social Sciences. ; Economic Geography.
    Description / Table of Contents: Chapter 1: Introduction -- Chapter 2: Literature Review -- Chapter 3: Methodology -- Chapter 4: Study I. Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing -- Chapter 5: Study II. Spatially explicit hyperparameter optimization of neural networks accelerated using high-performance computing -- Chapter 6: Study III. An integration of spatially explicit hyperparameter optimization with convolutional neural networks-based spatial models.
    Abstract: Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.
    Type of Medium: Online Resource
    Pages: XIX, 108 p. 45 illus., 43 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811653995
    URL: https://doi.org/10.1007/978-981-16-5399-5
    DOI: 10.1007/978-981-16-5399-5
    DDC: 910.285
    Language: English
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  • 3
    Online Resource
    Online Resource
    Monitoring of Desert Locust in Africa and Asia (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Agriculture. ; Environmental sciences Social aspects. ; Geographical Information System. ; Agriculture. ; Environmental Social Sciences.
    Description / Table of Contents: Foreword -- Preface -- Chapter 1 Introduction -- Chapter 2 Desert Locust Breeding Area and Migration Path in Africa and Asia -- Chapter 3 Monitoring of Desert Locusts in East Africa -- Chpater 4 Monitoring of Desert Locusts in West and South Asia -- Chapter 5 Remote Sensing Monitoring System of Desert Locust and its Application -- References.
    Abstract: This book deals with the topic on remote sensing monitoring of desert locust in Africa and Asia. Remote sensing monitoring of the occurrence and damage of desert locust is conducted by integrating cutting-edge technologies and methods in cross-disciplinary fields in remote sensing science, geographic information science, agronomy, plant protection, agricultural meteorology, mathematics, and computer science. The main contents include spatio-temporal data analysis and processing, desert locust breeding areas monitoring, pest migration path analysis and damage monitoring. Moreover, a desert locust remote sensing monitoring system is constructed and applied in the region of Africa and Asia countries. This book not only provides technical reference for remote sensing monitoring and application of desert locust but also serves as a research reference for scholars and graduate students engaged in agricultural remote sensing, agricultural information technology, plant protection and other related field. It will help to improve remote sensing monitoring and application of desert locust.
    Type of Medium: Online Resource
    Pages: XIV, 126 p. 116 illus., 113 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811972386
    URL: https://doi.org/10.1007/978-981-19-7238-6
    DOI: 10.1007/978-981-19-7238-6
    DDC: 910.285
    Language: English
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  • 4
    Online Resource
    Online Resource
    Geographic Information Systems in Urban Planning and Management (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Geography. ; Human geography. ; Environmental sciences Social aspects. ; Geographical Information System. ; Regional Geography. ; Human Geography. ; Environmental Social Sciences.
    Description / Table of Contents: Introduction of Geographic Information System -- Referencing and Coordinate Systems in GIS -- GIS Data Models -- Data Input in GIS -- Data Visualization and Output -- Spatial Data Analysis -- Non-spatial Data Management -- Applications of GIS in Urban Policy/Planning/Management -- Monitoring and Modelling of Urban Land Use Changes -- Simulating Future Urban Growth using Cellular Automata-Markov Chain Models -- Identification of Potential Sites for Housing Development Using GIS Based Multi-Criteria Evaluation Technique -- Urban Green Space Analysis and Potential Site Selection for Green Space Expansion -- A Multi-Criteria Decision Making for Alternative Landfill Site Selections Using Fuzzy TOPSIS Approach -- Urban Flood Susceptibility Modelling of Srinagar using Novel Fuzzy Multi-Layer Perceptron Neural Network (Fuzzy MLPNN) -- Assessment, Mapping and prediction of Urban Heat Island. .
    Abstract: Geographic Information Systems (GIS) play a pivotal role in the field of urban planning and management and provide better solutions for numerous urban problems. With GIS, one has the ability to better understand existing requirements of a city and its design to fulfill those needs. This book contributes to developing scientific knowledge based on geospatial technologies among planners, researchers, scientists, professionals, students, and laymen and providing them with better understanding for urban planning and management at various levels. The book manifests the importance of GIS in better understanding of current urban challenges and provides new insights on how to apply GIS in urban planning. It also encourages the various stakeholders of society to participate in the decision-making process and assists planners and authorities to formulate suitable plans for sustainable urban growth of a region. The book is divided into two parts. The first part describes the fundamental concepts of GIS and also deals with the advanced techniques of spatial planning. The second part addresses real-world case studies using various applications of GIS. The case studies include urban land-use changes, simulation of future urban growth, urban heat island, alternate landfill site selection and urban flood susceptibility mapping, among others. This book shows how to integrate GIS with remote sensing, geostatistics, artificial intelligence-machine learning techniques, and other cutting-edge technologies. Readers find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.
    Type of Medium: Online Resource
    Pages: XVII, 252 p. 115 illus., 51 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811978555
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-19-7855-5
    DOI: 10.1007/978-981-19-7855-5
    DDC: 910.285
    Language: English
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