Spatial Forecast Verification
Loss functions for the spatial prediction comparison test (SPCT)
Area Index
Bearing from One Spatial Location to Another
Create Binary Fields
Calculate dFSS Score Value
Calculate FSS Values
Calculate FSSwind Score Value
Centered on Square Domain Baddeley's Delta Metric
Centroid Distance Between Two Identified Objects
Connectivity Index
Circular Histogram
Cluster Analysis Verification
Combine Features/Matched Objects
Create Composite Features
Forecast Verification with Cluster Analysis: The Variation
Spatial Forecast Verification Methods Inter-Comparison Project (ICP) T...
Merge and/or Match Identified Features Within Two Fields
Identify Disjoint Sets of Connected Components
Elmore, Baldwin and Schultz Method for Field Significance for Spatial ...
Exponential Variogram
Exponential Variogram
Major and Minor Axes of a Feature
Threshold-based Feature Finder
Analyze Features of a Verification Set
Single Feature Properties
Feature-Based Contingency Table
2-d Interpolation
Forecast Quality Index
Various Verification Statistics on Possibly Neighborhood-Smoothed Fiel...
Create Several Graphics for List Objects Returned from hoods2d
Spatial-Alignment Summary Measures
Geographic Box Plot
2-d Gaussian Mixture Models Verification
Variograms for a Gridded Verification Set
Spatial Forecast Verification Shape Analysis
Neighborhood Verification Statistics for a Gridded Verification Set.
Quilt Plot and a Matrix Plot.
Image Moments
Feature Interest
Image Warping By Hand
Binary Image Measures
Localization Performance Measures
Temporal Block Bootstrap Keeping Locations in Space Constant
Test for Equal Predictive Ability on Average Over a Regularly Gridded ...
Spatial Verification Sets -- SpatialVx Object
Monte Carlo Degrees of Freedom
Force Merges in Matched Feature Objects
Binary Location Metric Proposed in Zhu et al. (2011)
Raw Image Moments.
Minimum Boundary Separation Feature Matching
Optical Flow Verification
Optical Flow
Practically Perfect Hindcast Neighborhood Verification Method
Rigid Transformation
S1 Score, Anomaly Correlation
Feature-based Analysis of a Field (Image)
Shape Index
Field Significance Method of Elmore et al. (2006)
Internal functions for the SpatialVx package
Spatial Forecast Verification
Spatial Prediction Comparison Test
Structure Function for Gridded Fields
Structure Function for Non-Gridded Spatial Fields.
Create Surrogate Fields
The Spatial Alignment Summary Measure Called G
Apply a Threshold to a Field
Upscaling Neighborhood Verification on a 2-d Verification Set
Variography Score
Some Common Traditional Forecast Verification Statistics.
Image Warp
Intensity Scale (IS) Verification
Apply Traditional Forecast Verification After Wavelet Denoising
High-Resolution Gridded Forecast Verification Using Discrete Wavelet D...
Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi: 10.5065/4px3-5a05>.