SpatialAnalysisEngine

Provides advanced spatial analysis capabilities including autocorrelation detection, anisotropy analysis, and spatial cross-validation strategies.

Details

The SpatialAnalysisEngine class integrates with terra and sf to provide:

• Global spatial autocorrelation metrics (Moran's I, Geary's C)

• Spatial heterogeneity and non-stationarity detection

• Advanced spatial cross-validation methods (Block CV, Buffer CV)

• Spatial weight matrix generation

Methods

Public methods

• SpatialAnalysisEngine$new()

• SpatialAnalysisEngine$calculate_autocorrelation()

• SpatialAnalysisEngine$create_spatial_folds()

• SpatialAnalysisEngine$detect_anisotropy()

• SpatialAnalysisEngine$clone()

---

Method new()

Usage

SpatialAnalysisEngine$new(config = list())

Arguments

config

Optional configuration list Calculate Global Spatial Autocorrelation

---

Method calculate_autocorrelation()

Usage

SpatialAnalysisEngine$calculate_autocorrelation(
  data,
  variable = NULL,
  method = "moran"
)

Arguments

data

Spatial data (terra SpatRaster or sf object)

variable

Name of variable to analyze (for sf objects)

method

"moran" or "geary"

Returns

Autocorrelation statistic Create Spatial Cross-Validation Folds

---

Method create_spatial_folds()

Usage

SpatialAnalysisEngine$create_spatial_folds(
  data,
  k = 5,
  method = "block",
  buffer_dist = NULL
)

Arguments

data

sf object containing sample locations

k

Number of folds

method

"random", "block", or "buffer"

buffer_dist

Distance for buffer CV (if method="buffer")

Returns

List of fold indices Detect Anisotropy (Basic Implementation)

---

Method detect_anisotropy()

Usage

SpatialAnalysisEngine$detect_anisotropy(data, variable = NULL)

Arguments

data

SpatRaster or sf object

variable

Variable to analyze

Returns

List describing anisotropy (major axis, ratio)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

SpatialAnalysisEngine$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.