APA Digital Coast Needs Assessment Survey

Needs: Data

Atlantic Northeast Region

TABLE 3d.

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

DATA SET None Current Data Time-Series Data Data Projections TOTAL
# % # % # % # % # %
Aerial/Satellite Imagery 6 4 70 51 50 37 10 7 136 100
Archaeological/Cultural Resources 17 13 89 65 25 18 5 4 136 100
Bathymetric Elevation (depth of lake or ocean floors) 45 33 68 50 15 11 8 6 136 100
Benthic Environmental Data (bottom of rivers, lakes, or oceans) 45 33 65 48 18 13 8 6 136 100
Building Quantities & Types (commercial, industrial, residential) 5 4 74 54 44 32 13 10 136 100
Coastal Habitat 22 16 58 43 36 26 20 15 136 100
Economic Output by Business Sector 26 19 44 32 36 26 30 22 136 100
Employment by Business Sector 26 19 41 30 37 27 32 24 136 100
Land Cover and Land Cover Change 4 3 48 35 60 44 24 18 136 100
Land Use 3 2 61 45 50 37 22 16 136 100
Land Elevation 10 7 92 68 22 16 12 9 136 100
Marine Jurisdictional Boundaries 44 32 77 57 11 8 4 3 136 100
Navigational 58 43 61 45 13 10 4 3 136 100
Population Attributes (age, race, education, etc.) 13 10 51 38 34 25 38 28 136 100
Population Counts 11 8 54 40 33 24 38 28 136 100
Relative Sea Level Rise 19 14 21 15 36 26 60 44 136 100
Risk Management Data (e.g. storm surge, floodplain, etc.) 11 8 38 28 34 25 53 39 136 100
Shoreline Erosion 21 15 32 24 39 29 44 32 136 100
Wages/Earnings by Business Sector 31 23 52 38 33 24 20 15 136 100
Water Quality 13 10 63 46 43 32 17 13 136 100
Weather/Climate Data 13 10 40 29 46 34 37 27 136 100

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 3d lists 21 possible data sets for which Atlantic Northeast 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 (43%);
  2. Bathymetric Elevation (33%);
  3. Benthic Environmental Data (33%);
  4. Marine Jurisdictional Boundaries (32%); and
  5. Wages/Earnings by Business Sector (23%).

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

  1. Land Elevation (68%);
  2. Archaeological/Cultural Resources (65%);
  3. Marine Jurisdictional Boundaries (57%);
  4. Building Quantities and Types (54%); and
  5. Aerial/Satellite Imagery (51%). 

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

  1. Land Cover and Land Cover Change (44%);
  2. Aerial/Satellite Imagery (37%);
  3. Land Use (37%);
  4. Building Quantities & Types (32%); and
  5. Water Quality (32%).

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

  1. Relative Sea Level Rise (44%);
  2. Risk Management Data (39%);
  3. Shoreline Erosion (32%);
  4. Population Attributes (28%); and
  5. Population Counts (28%).