Advanced Mapping of Environmental Data Geographical Information Systems 1st Edition by Mikhail Kanevski ISBN 1848210604 9781848210608 by Mikhail Kanevski 1848210604 instant download after payment.

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ISBN 10: 1848210604 
ISBN 13: 9781848210608
Author: Mikhail Kanevski

Advanced Mapping of Environmental Data Geographical Information Systems 1st Table of contents:

Part 1: Foundations and Advanced Data Management for Environmental GIS

• Chapter 1: Review of Core GIS Principles and Environmental Relevance

  • Geospatial Data Models: Vector, Raster, and Beyond (LiDAR, Point Clouds)
  • Coordinate Reference Systems and Projections: Advanced Considerations for Environmental Accuracy
  • Data Sources for Environmental Mapping: Sensor Networks, Citizen Science, Public Repositories
  • Environmental Data Standards and Interoperability
  • Introduction to Geospatial Databases for Large Environmental Datasets

• Chapter 2: Advanced Environmental Data Acquisition and Pre-processing

  • High-Resolution Remote Sensing for Environmental Monitoring (Satellite, Drone, Aerial)
  • LiDAR Data Acquisition and Processing for Terrain Analysis and Vegetation Structure
  • In-situ Sensor Integration and Real-time Data Streams
  • Data Cleaning, Filtering, and Gap Filling for Environmental Time Series
  • Geometric and Radiometric Corrections for Environmental Imagery

• Chapter 3: Environmental Data Quality, Uncertainty, and Error Propagation

  • Sources of Uncertainty in Environmental Data (Measurement, Positional, Attribute)
  • Quantifying and Visualizing Spatial Uncertainty
  • Error Propagation in GIS Operations and Environmental Models
  • Sensitivity and Uncertainty Analysis in Environmental Mapping
  • Best Practices for Reporting Data Quality in Environmental Studies

Part 2: Advanced Spatial Analysis Techniques for Environmental Applications

• Chapter 4: Advanced Spatial Statistics for Environmental Data

  • Exploratory Spatial Data Analysis (ESDA) for Environmental Patterns
  • Spatial Autocorrelation: Moran's I, Geary's C, and Local Indicators of Spatial Association (LISA)
  • Geostatistical Methods: Kriging, Cokriging, and Interpolation of Environmental Variables
  • Point Pattern Analysis for Ecological and Pollution Studies
  • Regression with Spatial Dependence: Spatial Lag and Spatial Error Models

• Chapter 5: Hydrological and Geomorphological Analysis in GIS

  • Digital Elevation Model (DEM) Derivations for Hydrology (Flow Direction, Accumulation, Watershed Delineation)
  • Stream Network Analysis and Stream Power Index
  • Floodplain Mapping and Flood Risk Assessment
  • Soil Erosion Modeling (RUSLE, USLE) and Sediment Transport
  • Coastal Geomorphology and Sea-Level Rise Mapping

• Chapter 6: Network Analysis for Environmental Flow and Connectivity

  • Modeling Pollution Plume Dispersion in Water and Air Networks
  • Wildlife Corridor Analysis and Habitat Connectivity
  • Least-Cost Path Analysis for Species Movement and Conservation Planning
  • Emergency Response Planning for Environmental Hazards
  • Transportation Network Analysis for Environmental Impact Assessment

• Chapter 7: Multi-Criteria Evaluation (MCE) and Site Suitability Analysis

  • Defining Criteria and Weights for Environmental Decision-Making
  • Weighted Linear Combination (WLC) and Analytical Hierarchy Process (AHP)
  • Fuzzy Logic and Probabilistic Approaches in MCE
  • Site Selection for Waste Management, Renewable Energy, and Conservation Areas
  • Scenario-Based Environmental Planning

Part 3: Environmental Modeling and Simulation with GIS

• Chapter 8: Spatiotemporal Modeling of Environmental Processes

  • Integrating Time-Series Data with Spatial Analysis
  • Change Detection Analysis in Remote Sensing for Land Use/Cover Change
  • Agent-Based Modeling (ABM) for Ecological Dynamics
  • Spatio-Temporal Regression Models for Environmental Trends
  • Predictive Mapping of Environmental Events (e.g., wildfires, disease outbreaks)

• Chapter 9: Climate Change Impact Modeling and Vulnerability Assessment

  • Downscaling Climate Model Outputs (GCMs, RCMs) for Local Impacts
  • Mapping Climate Change Indicators (Temperature, Precipitation Anomalies)
  • Vulnerability and Risk Assessment for Climate Change Impacts
  • Modeling Sea Level Rise Inundation and Coastal Adaptation
  • GIS for Carbon Sequestration and Greenhouse Gas Inventories

• Chapter 10: Ecological Niche Modeling and Biodiversity Conservation

  • Species Distribution Modeling (SDM): MaxEnt, GARP, ENFA
  • Predicting Species Habitat Suitability and Range Shifts
  • Biodiversity Hotspot Identification and Gap Analysis
  • Conservation Prioritization and Reserve Design
  • Modeling Invasive Species Spread

Part 4: Visualization, Communication, and Ethical Considerations

• Chapter 11: Advanced Environmental Data Visualization and Cartography

  • Designing Effective Thematic Maps for Environmental Communication
  • 3D Visualization of Environmental Phenomena (Terrain, Pollution Plumes)
  • Interactive Web Mapping and Dashboards for Environmental Monitoring
  • Visualizing Uncertainty and Data Quality on Maps
  • Story Maps and Geospatial Narratives for Public Engagement

• Chapter 12: Web GIS and Cloud-Based Environmental Platforms

  • Leveraging ArcGIS Online, Google Earth Engine, and Open-Source Alternatives
  • Publishing and Sharing Environmental Data and Maps
  • Collaborative Environmental Mapping Projects
  • Real-time Environmental Data Feeds and Alerts
  • API Integrations for Environmental Applications

• Chapter 13: Ethics, Privacy, and Responsible Use of Environmental Data

  • Data Governance and Ownership in Environmental Monitoring
  • Privacy Concerns with High-Resolution and Personal Environmental Data
  • Ethical Implications of Predictive Environmental Mapping
  • Ensuring Accessibility and Equity in Environmental Information
  • The Role of GIS Professionals in Environmental Advocacy and Policy

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Tags: Mikhail Kanevski, Mapping, Data