View source: R/08-temporal-analysis.R
| analyze_temporal_changes | R Documentation |
Analyze temporal changes in raster data including trend analysis, change detection, and seasonal patterns. Works with any time series data.
analyze_temporal_changes(
data_list,
dates = NULL,
region_boundary = NULL,
analysis_type = "trend",
output_folder = NULL
)
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 |
Temporal analysis results
## 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)
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