APA Digital Coast Needs Assessment Survey

Needs: Data

Great Lakes Region

TABLE 11b.

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

DATA SET None Current Data Time-Series Data Data Projections TOTAL
# % # % # % # % # %
Aerial/Satellite Imagery 12 11 58 53 37 34 3 3 110 100
Archaeological/Cultural Resources 19 17 64 58 24 22 3 3 110 100
Bathymetric Elevation (depth of lake or ocean floors) 39 35 50 45 14 13 7 6 110 100
Benthic Environmental Data (bottom of rivers, lakes, or oceans) 31 28 52 47 18 16 9 8 110 100
Building Quantities & Types (commercial, industrial, residential) 9 8 49 45 43 39 9 8 110 100
Coastal Habitat 32 29 50 45 22 20 6 5 110 100
Economic Output by Business Sector 19 17 38 35 35 32 18 16 110 100
Employment by Business Sector 15 14 43 39 36 33 16 15 110 100
Land Cover and Land Cover Change 10 9 29 26 53 48 18 16 110 100
Land Use 6 5 46 42 39 35 19 17 110 100
Land Elevation 16 15 78 71 13 12 3 3 110 100
Marine Jurisdictional Boundaries 49 45 52 47 5 5 4 4 110 100
Navigational 47 43 52 47 10 9 1 1 110 100
Population Attributes (age, race, education, etc.) 14 13 31 28 31 28 34 31 110 100
Population Counts 12 11 34 31 38 35 26 24 110 100
Relative Sea Level Rise 53 48 15 14 23 21 19 17 110 100
Risk Management Data (e.g. storm surge, floodplain, etc.) 23 21 45 41 18 16 24 22 110 100
Shoreline Erosion 21 19 33 30 33 30 23 21 110 100
Wages/Earnings by Business Sector 20 18 42 38 35 32 13 12 110 100
Water Quality 13 12 48 44 41 37 8 7 110 100
Weather/Climate Data 23 21 30 27 31 28 26 24 110 100

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 Great Lakes coastal region respondents were asked to identify needs to support planning practice, analysis, and research.

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

  1. Relative Sea Level Rise (48%);
  2. Marine Jurisdictional Boundaries (45%);
  3. Navigational (43%);
  4. Bathymetric Elevation (35%); and
  5. Coastal Habitat (29%).

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

  1. Land Elevation (71%);
  2. Archaeological/Cultural Resources (58%);
  3. Aerial/Satellite Imagery (53%);
  4. Benthic Environmental Data (47%); and
  5. Navigational Data (47%). 

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

  1. Land Cover and Land Cover Change (48%);
  2. Building Types & Quantities (39%);
  3. Water Quality (37%);
  4. Land Use (35%); and
  5. Population Counts (35%).

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

  1. Population Attributes (31%);
  2. Population Counts (24%);
  3. Weather/Climate Data (24%);
  4. Risk Management Data (22%); and
  5. Shoreline Erosion (21%).