analyze_temporal_changes: Analyze temporal changes in geospatial data

View source: R/08-temporal-analysis.R

analyze_temporal_changesR Documentation

Analyze temporal changes in geospatial data

Description

Analyze temporal changes in raster data including trend analysis, change detection, and seasonal patterns. Works with any time series data.

Usage

analyze_temporal_changes(
  data_list,
  dates = NULL,
  region_boundary = NULL,
  analysis_type = "trend",
  output_folder = NULL
)

Arguments

data_list

List of raster data for different time periods

dates

Vector of dates corresponding to rasters

region_boundary

Region boundary for analysis

analysis_type

Type of temporal analysis: "trend", "change_detection", "seasonal", "statistics"

output_folder

Output directory for results

Value

Temporal analysis results

Examples

## Not run: 
# These examples require external data files not included with the package
# Analyze NDVI trends over time
ndvi_trend <- analyze_temporal_changes(
  data_list = c("ndvi_2020.tif", "ndvi_2021.tif", "ndvi_2022.tif"),
  dates = c("2020", "2021", "2022"),
  region_boundary = "Iowa",
  analysis_type = "trend"
)

# Detect land cover changes
land_changes <- analyze_temporal_changes(
  data_list = land_cover_files,
  dates = land_cover_dates,
  analysis_type = "change_detection"
)

## End(Not run)


geospatialsuite documentation built on Nov. 6, 2025, 1:06 a.m.