5 Restoration Maps

This step builds spatial layers that characterize restoration potential within existing conservation lands for each of the seven TBCMP counties. All processing is implemented in R/funcs.R and executed in R/05_restoration_maps.R.

Overview

For each county, a single sf object is produced that dissolves restorable lands within existing conservation into four broad habitat categories for mapping. Only existing conservation lands are included. Proposed conservation lands represent future acquisition opportunities and are intentionally excluded.

The four output categories are:

Category	Description
Coastal Uplands	Restorable upland habitat within the coastal stratum
Freshwater Wetlands	Restorable wetland habitat outside the coastal stratum
Native Uplands	Restorable upland habitat outside the coastal stratum
Tidal Wetlands	Restorable tidal habitat (Mangrove Forests/Salt Barrens and Salt Marshes combined)

Mangrove Forests/Salt Barrens and Salt Marshes from restorelyr are merged into the single Tidal Wetlands category because the two habitat types share overlapping restoration potential at the mapping scale.

Input Layers

One county-wide shared layer is loaded at the start of the script:

Object	File	Description
`tbcmp_cnt`	`data/01_inputs/tbcmp_cnt.RData`	Seven-county boundary polygons

One county-specific layer is loaded inside the loop for each county:

Object	File	Description
`restorelyr_<county>`	`data/02_current_layers/restorelyr_<county>.RData`	Restorable lands in conservation, with `Habitat` and `typ` columns

County Processing Loop

The script loops over all seven counties in tbcmp_cnt. For each county:

Load restorelyr_<county> from data/02_current_layers/
Call restdat_fun() to produce the dissolved restoration potential sf object
Save the result as restmap_<county>.RData and restmap_<county>.shp in data/05_restoration_maps/

Restoration Layer Assembly

restdat_fun() processes restorelyr in three steps:

Filter to existing conservation: Rows where typ == "Existing" are retained. Proposed conservation lands are excluded.
Reclassify tidal categories: Mangrove Forests/Salt Barrens and Salt Marshes are both relabelled as Tidal Wetlands. All other Habitat values (Coastal Uplands, Freshwater Wetlands, Native Uplands) are unchanged.
Dissolve by category: Geometries are grouped by Habitat and dissolved using fixgeo(), which unions, casts to individual POLYGONs, and applies a zero buffer to resolve topology errors.

The result is an sf object with one row per category and a single Habitat attribute column.

Output Files

All output files are written to data/05_restoration_maps/. Each county produces two files:

File	Description
`restmap_<county>.RData`	`sf` object with `Habitat` column (four restoration categories)
`restmap_<county>.shp`	Shapefile equivalent of the same layer

County	RData file
Citrus	`restmap_citrus.RData`
Hernando	`restmap_hernando.RData`
Hillsborough	`restmap_hillsborough.RData`
Manatee	`restmap_manatee.RData`
Pasco	`restmap_pasco.RData`
Pinellas	`restmap_pinellas.RData`
Sarasota	`restmap_sarasota.RData`

Mapping

restmap_leaflet() is a separate function that accepts the spatial output from restdat_fun() and produces an interactive leaflet map. It is not called in 05_restoration_maps.R but is available for use in downstream analysis. The four restoration categories use fixed colours for display:

Category	Colour
Coastal Uplands	`brown4`
Freshwater Wetlands	`orange`
Native Uplands	`darkgreen`
Tidal Wetlands	`yellow`

Key Functions

Function	Purpose
`restdat_fun()`	Filter to existing conservation, reclassify tidal categories, dissolve by `Habitat`, return `sf`
`restmap_leaflet()`	Format `restdat_fun()` output into an interactive `leaflet` map for display