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Geographic information systems (GISs) have played a vital role in Earth sciences by providing a powerful means of observing the world and various tools for solving complex problems. The scientific community has used GISs to reveal fascinating details about the Earth and other planets. This book on recent advances in GIS for Earth sciences includes 12 publications from esteemed research groups worldwide. The research and review papers in this book belong to the following broad categories: Earth science informatics (geoinformatics), mining, hydrology, natural hazards, and society.
Research & information: general --- mine safety --- GIS-coupled --- spatiotemporal model --- LBM --- methane gas emission --- traffic flows --- taxi trajectory --- float cars --- spatial community --- transport system --- land use --- multi-functionality --- production-living-ecology function --- spatiotemporal dynamics --- obstacle factors --- Xiangxi --- DEM grid cell size --- efficiency --- mountainous watersheds --- optimized parameter set --- TOPMODEL --- social media --- rainstorm event --- spatiotemporal analysis --- factor assessing --- parallel algorithm --- map overlay analysis --- Hilbert ordering decomposition --- spatial analysis --- GIS vector map data --- GIS vector map security --- selective encryption --- simplification method and cryptography --- geo-sensor framework --- geo-sensor platform (GIS) --- sensor networks --- do-it-yourself (DIY) --- landslide susceptibility mapping --- ensemble techniques --- functional trees --- bagging --- rotation forest --- dagging --- algorithm --- cognition --- computer languages --- eye-tracking measurement --- gaze tracking --- human-computer interaction --- open source software --- symbols --- visualisation --- Geographic information systems --- mine planning --- mine development --- mine operation --- environmental management --- mine reclamation --- Indian Himalayas --- landslides --- GIS --- remote sensing
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The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
Research & information: general --- groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development --- n/a
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The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development --- n/a
Choose an application
Geographic information systems (GISs) have played a vital role in Earth sciences by providing a powerful means of observing the world and various tools for solving complex problems. The scientific community has used GISs to reveal fascinating details about the Earth and other planets. This book on recent advances in GIS for Earth sciences includes 12 publications from esteemed research groups worldwide. The research and review papers in this book belong to the following broad categories: Earth science informatics (geoinformatics), mining, hydrology, natural hazards, and society.
mine safety --- GIS-coupled --- spatiotemporal model --- LBM --- methane gas emission --- traffic flows --- taxi trajectory --- float cars --- spatial community --- transport system --- land use --- multi-functionality --- production-living-ecology function --- spatiotemporal dynamics --- obstacle factors --- Xiangxi --- DEM grid cell size --- efficiency --- mountainous watersheds --- optimized parameter set --- TOPMODEL --- social media --- rainstorm event --- spatiotemporal analysis --- factor assessing --- parallel algorithm --- map overlay analysis --- Hilbert ordering decomposition --- spatial analysis --- GIS vector map data --- GIS vector map security --- selective encryption --- simplification method and cryptography --- geo-sensor framework --- geo-sensor platform (GIS) --- sensor networks --- do-it-yourself (DIY) --- landslide susceptibility mapping --- ensemble techniques --- functional trees --- bagging --- rotation forest --- dagging --- algorithm --- cognition --- computer languages --- eye-tracking measurement --- gaze tracking --- human-computer interaction --- open source software --- symbols --- visualisation --- Geographic information systems --- mine planning --- mine development --- mine operation --- environmental management --- mine reclamation --- Indian Himalayas --- landslides --- GIS --- remote sensing
Choose an application
The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
Research & information: general --- groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development
Choose an application
Geographic information systems (GISs) have played a vital role in Earth sciences by providing a powerful means of observing the world and various tools for solving complex problems. The scientific community has used GISs to reveal fascinating details about the Earth and other planets. This book on recent advances in GIS for Earth sciences includes 12 publications from esteemed research groups worldwide. The research and review papers in this book belong to the following broad categories: Earth science informatics (geoinformatics), mining, hydrology, natural hazards, and society.
Research & information: general --- mine safety --- GIS-coupled --- spatiotemporal model --- LBM --- methane gas emission --- traffic flows --- taxi trajectory --- float cars --- spatial community --- transport system --- land use --- multi-functionality --- production-living-ecology function --- spatiotemporal dynamics --- obstacle factors --- Xiangxi --- DEM grid cell size --- efficiency --- mountainous watersheds --- optimized parameter set --- TOPMODEL --- social media --- rainstorm event --- spatiotemporal analysis --- factor assessing --- parallel algorithm --- map overlay analysis --- Hilbert ordering decomposition --- spatial analysis --- GIS vector map data --- GIS vector map security --- selective encryption --- simplification method and cryptography --- geo-sensor framework --- geo-sensor platform (GIS) --- sensor networks --- do-it-yourself (DIY) --- landslide susceptibility mapping --- ensemble techniques --- functional trees --- bagging --- rotation forest --- dagging --- algorithm --- cognition --- computer languages --- eye-tracking measurement --- gaze tracking --- human-computer interaction --- open source software --- symbols --- visualisation --- Geographic information systems --- mine planning --- mine development --- mine operation --- environmental management --- mine reclamation --- Indian Himalayas --- landslides --- GIS --- remote sensing
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