103,99 €
Urban Growth Patterns in India
Urban Growth Patterns in India
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Urban Growth Patterns in India
Urban Growth Patterns in India
El. knyga:
103,99 €
This book uses spatio-temporal analysis to understand urbanisation in Indian cities and explain the concept and impact of global greenhouse gas (GHG) emissions. It creates a GHG footprint for Indian cities and engages in a discussion about the United Nations Sustainable Development Goals (SDGs) and smart city initiatives within an Indian context. Understanding the spatial patterns of land use/land cover (LULC) dynamics in the rapidly urbanising cities of India, the readers will be able to simul…
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 179
  • ISBN: 9781000045406
  • ISBN-10: 1000045404
  • ISBN-13: 9781000045406
  • Formatas: ACSM ?
  • Kalba: Anglų

Urban Growth Patterns in India (el. knyga) (skaityta knyga) | knygos.lt

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This book uses spatio-temporal analysis to understand urbanisation in Indian cities and explain the concept and impact of global greenhouse gas (GHG) emissions. It creates a GHG footprint for Indian cities and engages in a discussion about the United Nations Sustainable Development Goals (SDGs) and smart city initiatives within an Indian context. Understanding the spatial patterns of land use/land cover (LULC) dynamics in the rapidly urbanising cities of India, the readers will be able to simulate future urbanisation patterns and use spatial temporal analysis as a tool for implementing appropriate mitigation measures.

Features

  • Analyses the complete urbanisation and urban sprawl of major cities in India using advanced geospatial modelling techniques
  • Highlights the best practices and methods used in modelling urban growth
  • Discusses greenhouse gas emissions from various sectors and their effects in local environments
  • Addresses the increase of local temperature in cities due to unplanned land use change and its impact on environmental sustainability and resilience
  • Fills the need for data-driven governance and policy decisions by introducing various analyses through spatial mapping

Highlighting some of the best practices and tools being used for modelling urban growth through case studies, the book is useful to those interested in using new technologies and methods for data collection and problem solving. It focuses on the major environmental issues in India, which are prevalent in most developing countries.

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  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 179
  • ISBN: 9781000045406
  • ISBN-10: 1000045404
  • ISBN-13: 9781000045406
  • Formatas: ACSM ?
  • Kalba: Anglų

This book uses spatio-temporal analysis to understand urbanisation in Indian cities and explain the concept and impact of global greenhouse gas (GHG) emissions. It creates a GHG footprint for Indian cities and engages in a discussion about the United Nations Sustainable Development Goals (SDGs) and smart city initiatives within an Indian context. Understanding the spatial patterns of land use/land cover (LULC) dynamics in the rapidly urbanising cities of India, the readers will be able to simulate future urbanisation patterns and use spatial temporal analysis as a tool for implementing appropriate mitigation measures.

Features

  • Analyses the complete urbanisation and urban sprawl of major cities in India using advanced geospatial modelling techniques
  • Highlights the best practices and methods used in modelling urban growth
  • Discusses greenhouse gas emissions from various sectors and their effects in local environments
  • Addresses the increase of local temperature in cities due to unplanned land use change and its impact on environmental sustainability and resilience
  • Fills the need for data-driven governance and policy decisions by introducing various analyses through spatial mapping

Highlighting some of the best practices and tools being used for modelling urban growth through case studies, the book is useful to those interested in using new technologies and methods for data collection and problem solving. It focuses on the major environmental issues in India, which are prevalent in most developing countries.

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