APA Digital Coast Needs Assessment Survey

Needs: Data

Atlantic Southeast Region

TABLE 11b.

Respondents' data needs for planning practice/analysis/research (Question #12)a: Atlantic Southeast

DATA SET None Current Data Time-Series Data Data Projections TOTAL
# % # % # % # % # %
Aerial/Satellite Imagery 7 5 77 50 60 39 10 6 154 100
Archaeological/Cultural Resources 24 16 101 66 25 16 4 3 154 100
Bathymetric Elevation (depth of lake or ocean floors) 66 43 57 37 21 14 10 6 154 100
Benthic Environmental Data (bottom of rivers, lakes, or oceans) 61 40 64 42 20 13 9 6 154 100
Building Quantities & Types (commercial, industrial, residential) 8 5 66 43 56 36 24 16 154 100
Coastal Habitat 28 18 63 41 44 29 19 12 154 100
Economic Output by Business Sector 21 14 42 27 43 28 48 31 154 100
Employment by Business Sector 20 13 46 30 44 29 44 29 154 100
Land Cover and Land Cover Change 5 3 43 28 79 51 27 18 154 100
Land Use 5 3 52 34 62 40 35 23 154 100
Land Elevation 16 10 98 64 26 17 14 9 154 100
Marine Jurisdictional Boundaries 55 36 83 54 11 7 5 3 154 100
Navigational 67 44 70 45 12 8 5 3 154 100
Population Attributes (age, race, education, etc.) 15 10 39 25 44 29 56 36 154 100
Population Counts 9 6 48 31 38 25 59 38 154 100
Relative Sea Level Rise 29 19 26 17 39 25 60 39 154 100
Risk Management Data (e.g. storm surge, floodplain, etc.) 12 8 53 34 39 25 50 32 154 100
Shoreline Erosion 24 16 36 23 46 30 48 31 154 100
Wages/Earnings by Business Sector 28 18 52 34 40 26 34 22 154 100
Water Quality 14 9 66 43 56 36 18 12 154 100
Weather/Climate Data 24 16 40 26 45 29 45 29 154 100

a. Responses to Question #13 (What other data needs do you have to best support your planning practice/ analysis/research?) are provided in the Raw Survey Response Matrix.


Table 11b lists 21 data sets for which Atlantic Southeast coastal region respondents were asked to assess their needs to support their planning practice, analysis, and research.

The five data sets with the highest percentage of respondents indicating they had no need are:

  1. Navigational (44%);
  2. Bathymetric Elevation (43%);
  3. Benthic Environmental Data (40%);
  4. Marine Jurisdictional Boundaries (36%); and
  5. Relative Sea Level Rise (19%).

The five data sets with the highest percentage of respondents indicating they needed current data are:

  1. Archaeological/Cultural Resources (66%);
  2. Land Elevation (64%);
  3. Marine Jurisdictional Boundaries (54%);
  4. Aerial/Satellite Imagery (50%); and
  5. Navigational (45%).

The five data sets with the highest percentage of respondents indicating they needed time-series data are:

  1. Land Cover and Land Cover Change (51%);
  2. Land Use (40%);
  3. Aerial/Satellite Imagery (39%);
  4. Building Quantities & Types (36%); and
  5. Water Quality (36%).

The five data sets with the highest percentage of respondents indicating they needed data projections are:

  1. Relative Sea Level Rise (39%);
  2. Population Counts (38%);
  3. Population Attributes (36%);
  4. Risk Management Data (32%); and
  5. Economic Output by Business Sector (31%).