Geostatistics : spatial information modeling and mapping for natural resources, ecological and environmental applications /: spatial information modeling and mapping for natural resources, ecological and environmental applications. (2011)

• Record Type: Book
• Further Information: Note: By Mohammed A. Kalkhan.
• Other Names: Kalkhan, Mohammed A
• Contents: Geospatial Information Technology; Remotely Sensed Data; Instantaneous Field of View (IFOV) at Nadir (Resolution on the Ground); IKONOS; ORBIMAGE (GeoEye); QuickBird; The SPOT (System Probatori D’Observation de la Terre); MODIS (Moderate Resolution Imaging Spectroradiometer); ASTER (Advanced Spaceborne Thermal Emission and Reflection radiometer); Active Remotely Sensed Data; Radar; Lidar; Derived Remotely Sensed Data; Vegetation Indices; The Tasseled Cap Transformation; Geographic Information Systems (GIS); Thematic Data Layers; Geospatial Data Conversion; Using ERDAS-IMAGINE Software; Using ARCINFO Software; Select Area of Interest (Study Site); Topographic Data; Global Positioning System (GPS); GPS Services; The GPS Satellite System and Fact; GPS Applications; References Data Sampling Methods and Applications; Data Representation; Data Collection and Source of Errors; Data Types; Sampling Methods and Applications; Sampling Designs; Simple Random Sampling; Stratified Random Sampling; Systematic Sampling; Nonaligned Systematic Sample; Cluster Sampling; Multiphase (Double) Sampling; Double Sampling and Mapping Accuracy; Pixel Nested Plot (PNP): Case Study; Plot Design; Issues; Characteristics of Different Plot Shapes; Plot Size; References Spatial Pattern and Correlation Statistics; Scale; Spatial Sampling; Errors in Spatial Analysis; Spatial Variability and Method of Prediction; Spatial Pattern; Spatial Point Pattern; Linear Correlation Statistic; Case Study; Statistical Example; Spatial Correlation Statistics; Moran’s I and Geary’s C; Cross-Correlation Statistic; Inverse Distance Weighting (IDW); Statistical Example; References Geospatial Analysis and Modeling–Mapping; Stepwise Regression; Statistical Example; Ordinary Least Squares (OLS); Variogram and Kriging; Ordinary Kriging; Simple Kriging; Universal Kriging; Developing Variogram Model and Kriging to Predict Plant Diversity at GSENM, Utah; Spatial Autoregressive (SAR); Statistical Example; Binary Classification Tree (BCTs); Cokriging; Geospatial Models for Presence and Absence Data; GARP Model; Maxent Model; Logistic Regression; Classification and Regression Tree (CART); Envelope Model; References R Statistical Package; Overview of R Statistics (R); What Is R?; Strengths of R/S; The R Environment; Scripts; Working with R on Your COMPUTER; Begin to Use R; Statistical Analysis Examples Using R; Common Statistics; Common Graphics; Common Programming; Create and Examine a Logical Vector; Working on Graphical Display of Data (Data distributions); Develop a Histogram; Data Comparison between the Data and an Expected Normal Distribution; More Statistical Analysis; Reading New Variable (Enter new data set, WEIGHT); Plotting Weight and Height; Test of Association; Some Basic Regression Analysis; Case Study; Test for Spatial Autocorrelation Using Moran’s I; Test for Spatial Autocorrelation Using Geary’s C; Test for Spatial Cross-Correlation Using Bi-Moran’s I; Trend Surface Analysis; Test for Spatial Autocorrelation of the Residuals; Test for Moran’s I for Residuals; Using Spatial AR Model without Regression; Using Spatial AR with Regression (Using All Independent Variables as with OLS Model); Analysis of Residuals; Develop Variogram Model (Modeling Fine Scale Variability); Plotting Variogram Model; References Working with Geospatial Information Data; Exercise 1: Working with Remotely Sensed Data; Exercise 2: Derived Remote Sensing Data and; Digital Elevation Model (DEM); Deriving Slope and Aspect from DEM Data; Resample GRID; Exercise 3: Geospatial Information Data Extraction; Deriving SLOPE and ASPECT from DEM Data (ELEVATION); Resample GRID; Select Area of Interest (Study Site); Data Extraction; Steps for Converting the Geospatial Model to a Thematic Map Product; Working with Vegetation Indices and Tasseled Cap Transformation; Develop Thematic Layer in ARCVIEW or ARCMAP; Map Layout; References Index
• Publisher Details: Place of publication not identified : CRC Press
• Publication Date: 2011
• Extent: 1 online resource (184 pages), (1 illustrations)
• Subjects: 550.285; Earth sciences -- Statistical methods -- Data processing; Geospatial data
• Languages: English
• ISBNs: 9781439891117; 1439891117
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.