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SpatialVx (version 0.3)

Spatial Forecast Verification

Description

Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.

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Version

Install

install.packages('SpatialVx')

Monthly Downloads

265

Version

0.3

License

GPL (>= 2)

Maintainer

Eric Gilleland

Last Published

December 18th, 2015

Functions in SpatialVx (0.3)

Cluster Analysis Verification

Loss functions for the spatial prediction comparison test (SPCT)

Example Verification Set

Elmore, Baldwin and Schultz Method for Field Significance for Spatial Bias Errors

Minimum Boundary Separation Feature Matching

Connectivity Index

Forecast Verification with Cluster Analysis: The Variation

FeatureMatchAnalyzer

Analyze Features of a Verification Set

Spatial Verification Sets -- SpatialVx Object

Example Precipitation Rate Verification Set (NIMROD)

Major and Minor Axes of a Feature

Various Verification Statistics on Possibly Neighborhood-Smoothed Fields.

ExampleSpatialVxSet

Simulated Spatial Verification Set

Rigid Transformation

Localization Performance Measures

Variograms for a Gridded Verification Set

Geographic Box Plot

Merge and/or Match Identified Features Within Two Fields

Single Feature Properties

S1 Score, Anomaly Correlation

Create Several Graphics for List Objects Returned from hoods2d

Exponential Variogram

Contiguous Rain Area

Simulated Forecast and Verification Fields

Force Merges in Matched Feature Objects

Threshold-based Feature Finder

Practically Perfect Hindcast Neighborhood Verification Method

Quilt Plot and a Matrix Plot.

Identify Disjoint Sets of Connected Components

Feature-Based Contingency Table

SpatialVx-internal

Internal functions for the SpatialVx package

Feature-based Analysis of a Field (Image)

2-d Interpolation

Temporal Block Bootstrap Keeping Locations in Space Constant

Field Significance Method of Elmore et al. (2006)

Structure Function for Non-Gridded Spatial Fields.

Spatial Forecast Verification Shape Analysis

Binary Location Metric Proposed in Zhu et al. (2011)

SpatialVx-package

Spatial Forecast Verification

Spatial Forecast Verification Methods Inter-Comparison Project (ICP) Test Cases and other example verification sets

Apply Traditional Forecast Verification After Wavelet Denoising

Forecast Quality Index

Create Surrogate Fields

Some Common Traditional Forecast Verification Statistics.

Feature Interest

Raw Image Moments.

High-Resolution Gridded Forecast Verification Using Discrete Wavelet Decomposition

Monte Carlo Degrees of Freedom

Centroid Distance Between Two Identified Objects

Binary Image Measures

2-d Gaussian Mixture Models Verification

Combine Features/Matched Objects

Upscaling Neighborhood Verification on a 2-d Verification Set

Create Composite Features

Neighborhood Verification Statistics for a Gridded Verification Set.

Optical Flow Verification

Test for Equal Predictive Ability on Average Over a Regularly Gridded Space

Intensity Scale (IS) Verification

Bearing from One Spatial Location to Another

structurogram.matrix

Structure Function for Gridded Fields