4 Opportunity Maps

This step builds spatial layers that characterize conservation opportunity areas for each of the seven TBCMP counties. All processing is implemented in R/funcs.R and executed in R/04_opportunities_maps.R.

Overview

For each county, a single sf object is produced that combines eight opportunity categories into one layer with a cat column: the four base categories (Existing Conservation Native, Existing Conservation Restorable, Proposed Conservation Native, Proposed Conservation Restorable), and a ", vulnerable" suffix identifying the portion that overlaps a vulnerability hot spot layer.

Category	Description
Existing Conservation Native	Native habitat within existing conservation lands, not in a vulnerability hot spot
Existing Conservation Native, vulnerable	Native habitat within existing conservation lands, within a vulnerability hot spot
Existing Conservation Restorable	Restorable land within existing conservation lands, not in a vulnerability hot spot
Existing Conservation Restorable, vulnerable	Restorable land within existing conservation lands, within a vulnerability hot spot
Proposed Conservation Native	Native habitat within proposed conservation lands, not in a vulnerability hot spot
Proposed Conservation Native, vulnerable	Native habitat within proposed conservation lands, within a vulnerability hot spot
Proposed Conservation Restorable	Restorable land within proposed conservation lands, not in a vulnerability hot spot
Proposed Conservation Restorable, vulnerable	Restorable land within proposed conservation lands, within a vulnerability hot spot

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

Three county-specific layers are loaded inside the loop for each county:

Object	File	Description
`nativelyr_<county>`	`data/02_current_layers/nativelyr_<county>.RData`	Native habitats in conservation lands
`restorelyr_<county>`	`data/02_current_layers/restorelyr_<county>.RData`	Restorable lands in conservation
`vuln_max_<county>`	`data/01_inputs/vuln_max_<county>.RData`	Vulnerability hot spot polygon (cells at or above the vulnerability threshold)

County Processing Loop

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

Load the three county-specific layers from data/02_current_layers/ and data/01_inputs/
Call oppdat_fun() to produce the four-category opportunity sf object
Call oppdat_vuln_fun() to split each category by overlap with the vulnerability layer, producing the eight-category sf object
Save the result as oppmap_<county>.RData and oppmap_<county>.shp in data/04_opportunities_maps/

Opportunity Layer Assembly

oppdat_fun() assembles the four base opportunity categories directly from nativelyr and restorelyr:

Existing Conservation Native and Existing Conservation Restorable: Features filtered to typ == "Existing" from nativelyr and restorelyr respectively.
Proposed Conservation Native and Proposed Conservation Restorable: Features filtered to typ == "Proposed" from nativelyr and restorelyr respectively.

All four layers are combined with dplyr::bind_rows() into a single sf object with a cat column.

oppdat_vuln_fun() then splits each of the four categories by overlap with the vulnerability polygon (vulndat). The portion intersecting the vulnerability layer is relabelled with a ", vulnerable" suffix, and the remaining (non-overlapping) portion keeps the original category label.

fixgeo() is applied at each stage to resolve topology errors before any spatial operations.

Output Files

All output files are written to data/04_opportunities_maps/. Each county produces two files:

File	Description
`oppmap_<county>.RData`	`sf` object with `cat` column (eight opportunity categories)
`oppmap_<county>.shp`	Shapefile equivalent of the same layer

County	RData file
Citrus	`oppmap_citrus.RData`
Hernando	`oppmap_hernando.RData`
Hillsborough	`oppmap_hillsborough.RData`
Manatee	`oppmap_manatee.RData`
Pasco	`oppmap_pasco.RData`
Pinellas	`oppmap_pinellas.RData`
Sarasota	`oppmap_sarasota.RData`

Mapping

oppmap_leaflet() is a separate function that accepts the spatial output from oppdat_vuln_fun() and produces an interactive leaflet map. It is not called in 04_opportunity_maps.R but is available for use in downstream analysis. The four base categories use fixed colours for display, applied to both the vulnerable and non-vulnerable variant of each:

Category	Colour
Existing Conservation Native	`yellowgreen`
Existing Conservation Restorable	`green4`
Proposed Conservation Native	`dodgerblue1`
Proposed Conservation Restorable	`dodgerblue4`

The vulnerable portion of each category is rendered as a solid fill in that colour and the non-vulnerable portion is rendered with a diagonal-hatch pattern in the same colour. The hatch patterns are injected into the map’s SVG via htmlwidgets::onRender().

Key Functions

Function	Purpose
`oppdat_fun()`	Assemble the four base opportunity categories from `nativelyr`/`restorelyr`, return combined `sf`
`oppdat_vuln_fun()`	Split each opportunity category by overlap with a vulnerability polygon into vulnerable/non-vulnerable portions, return combined `sf` with up to eight categories
`oppmap_leaflet()`	Format `oppdat_vuln_fun()` output into an interactive `leaflet` map, with solid fill for vulnerable areas and hatched fill for non-vulnerable areas