# Taxa Maps

#### Erik.Leppo@tetratech.com

#### 2026-07-22

# Purpose

To create taxa distribution maps.

# Usage

Map taxonomic observations from a data frame. Input a dataframe with SampID , TaxaID, TaxaCount, Latitude, and Longitude. Other arguments are format (jpg vs. pdf), file name prefix, and output directory. Files are saved with the prefix “map.taxa.” by default.

Uses the `maps` package map function.

For maps package map function need database (usa, state, county) and regions (e.g., maryland). Additional map function arguments can be passed through the MapTaxaObs function.

# Example, Data

Data used should have Sample Identifier, Taxa Identifier, Taxa Count (can be 1 for all), Latitude/Longitude (decimal degrees).

estuary | CommonName | LifeStage | SalZone | Winter | Spring | Summer | Fall | All | TaxaName | State | Latitude | Longitude | Count | PctDensity
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
BOSTON HARBOR | ALEWIFE | ADULTS | 0.5-25 ppt | 0.0000000 | 2.333333 | 3.3333333 | 1.333333 | 1.7500000 | ALEWIFE, ADULTS, 0.5-25 ppt | MA | 42.335 | -70.9815 | 1.7500000 | 0.0023913
BOSTON HARBOR | ALEWIFE | ADULTS | >25 ppt | 0.0000000 | 2.333333 | 3.3333333 | 2.666667 | 2.0833333 | ALEWIFE, ADULTS, >25 ppt | MA | 42.335 | -70.9815 | 2.0833333 | 0.0028467
BOSTON HARBOR | AMERICAN EEL | ADULTS | 0.5-25 ppt | 0.0000000 | 0.000000 | 0.6666667 | 2.666667 | 0.8333333 | AMERICAN EEL, ADULTS, 0.5-25 ppt | MA | 42.335 | -70.9815 | 0.8333333 | 0.0011387
BOSTON HARBOR | AMERICAN EEL | ADULTS | >25 ppt | 0.0000000 | 0.000000 | 0.6666667 | 2.666667 | 0.8333333 | AMERICAN EEL, ADULTS, >25 ppt | MA | 42.335 | -70.9815 | 0.8333333 | 0.0011387
BOSTON HARBOR | AMERICAN LOBSTER | ADULTS | 0.5-25 ppt | 0.6666667 | 2.333333 | 4.0000000 | 3.333333 | 2.5833333 | AMERICAN LOBSTER, ADULTS, 0.5-25 ppt | MA | 42.335 | -70.9815 | 2.5833333 | 0.0035299
BOSTON HARBOR | AMERICAN LOBSTER | ADULTS | >25 ppt | 2.3333333 | 3.000000 | 4.0000000 | 3.333333 | 3.1666667 | AMERICAN LOBSTER, ADULTS, >25 ppt | MA | 42.335 | -70.9815 | 3.1666667 | 0.0043270

# Example, ggplot

The `ggplot2` package can be used to create single maps that are returned to the console for further editing.

    # Packages
    #library(BioMonTools)
    #library(ggplot2)
    #library(knitr)

    #
    df_obs <- BioMonTools::data_Taxa_MA

    TaxaID <- "TaxaName"
    TaxaCount <- "Count"
    Lat <- "Latitude"
    Long <- "Longitude"

    myTaxa <- "ALEWIFE, ADULTS, 0.5-25 ppt"

    df_map <- subset(df_obs, df_obs[, TaxaID] == myTaxa)

    myDB <- "state"
    myRegion <- "massachusetts"

    Lat <- "Latitude"
    Long <- "Longitude"

    # Base Map
    m1 <- ggplot2::ggplot(data=subset(ggplot2::map_data(myDB)
                                      , region %in% c(myRegion))) +
              ggplot2::geom_polygon(ggplot2::aes(x = long
                                        , y = lat
                                        , group = group)
                                    , fill = "light gray",
                                    color = "black") +
              ggplot2::coord_fixed(1.3) +
              ggplot2::theme_void()
    # Add points (all)
    m1 <- m1 + ggplot2::geom_point(data=df_obs
                                   , ggplot2::aes(df_obs[, Long]
                                                  , df_obs[, Lat])
                                   , fill=NA
                                   , color="gray")
    # Add points (Taxa)
    m1 <- m1 + ggplot2::geom_point(data=df_map
                                   , ggplot2::aes(df_map[,Long]
                                                  , df_map[,Lat])
                                   , color="blue")
    # Map Title (center)
    m1 <- m1 +
      ggplot2::labs(title = myTaxa) +
      ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5))
    # Caption (left justified)
    m1 <- m1 + ggplot2::labs(caption = "caption1 \n caption2") +
      ggplot2::theme(plot.caption = ggplot2::element_text(hjust = 0))

    # Show Results
    knitr::kable(head(df_obs))

estuary | CommonName | LifeStage | SalZone | Winter | Spring | Summer | Fall | All | TaxaName | State | Latitude | Longitude | Count | PctDensity
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
BOSTON HARBOR | ALEWIFE | ADULTS | 0.5-25 ppt | 0.0000000 | 2.333333 | 3.3333333 | 1.333333 | 1.7500000 | ALEWIFE, ADULTS, 0.5-25 ppt | MA | 42.335 | -70.9815 | 1.7500000 | 0.0023913
BOSTON HARBOR | ALEWIFE | ADULTS | >25 ppt | 0.0000000 | 2.333333 | 3.3333333 | 2.666667 | 2.0833333 | ALEWIFE, ADULTS, >25 ppt | MA | 42.335 | -70.9815 | 2.0833333 | 0.0028467
BOSTON HARBOR | AMERICAN EEL | ADULTS | 0.5-25 ppt | 0.0000000 | 0.000000 | 0.6666667 | 2.666667 | 0.8333333 | AMERICAN EEL, ADULTS, 0.5-25 ppt | MA | 42.335 | -70.9815 | 0.8333333 | 0.0011387
BOSTON HARBOR | AMERICAN EEL | ADULTS | >25 ppt | 0.0000000 | 0.000000 | 0.6666667 | 2.666667 | 0.8333333 | AMERICAN EEL, ADULTS, >25 ppt | MA | 42.335 | -70.9815 | 0.8333333 | 0.0011387
BOSTON HARBOR | AMERICAN LOBSTER | ADULTS | 0.5-25 ppt | 0.6666667 | 2.333333 | 4.0000000 | 3.333333 | 2.5833333 | AMERICAN LOBSTER, ADULTS, 0.5-25 ppt | MA | 42.335 | -70.9815 | 2.5833333 | 0.0035299
BOSTON HARBOR | AMERICAN LOBSTER | ADULTS | >25 ppt | 2.3333333 | 3.000000 | 4.0000000 | 3.333333 | 3.1666667 | AMERICAN LOBSTER, ADULTS, >25 ppt | MA | 42.335 | -70.9815 | 3.1666667 | 0.0043270

    m1

# Example, PDF

The example below will create a PDF with one map per page.

    df_obs <- data_Taxa_MA
    SampID <- "estuary"
    TaxaID <- "TaxaName"
    TaxaCount <- "Count"
    Lat <- "Latitude"
    Long <- "Longitude"
    output_dir <- tempdir()
    output_prefix <- "maps.taxa."
    output_type <- "pdf"

    myDB <- "state"
    myRegion <- "massachusetts"
    myXlim     <- c(-(73 + (30/60)), -(69 + (56/60)))
    myYlim     <- c((41 + (14/60)), (42 + (53/60)))

    # Run function with extra arguments for map
    BioMonTools::MapTaxaObs(df_obs,
                            SampID,
                            TaxaID,
                            TaxaCount,
                            Lat,
                            Long,
                            output_dir,
                            output_prefix,
                            output_type,
                            database = "state",
                            regions = "massachusetts",
                            xlim = myXlim,
                            ylim = myYlim)