DEEP Property is a polygon feature-based layer that includes all land owned in fee simple interest by the State of Connecticut Department of Energy and Environmental Protection. This layer is based on information that was collected and mapped at various scales and at different levels of accuracy. Generally, partial interests such as easements or development rights are not included in this layer. The exception is flood control areas, which may include permanent easements. Types of property in this layer include parks, forests, wildlife areas, flood control areas, scenic preserves, natural areas, historic reserves, DEEP owned waterbodies, water access sites and other miscellaneous properties. This layer is current and is updated as parcels are acquired by DEEP.
publication date
DEEP owned land
Internal feature number. (Source: ESRI)
Feature geometry. (Source: ESRI)
ArcView Legend. Text field for symbolizing DEP facility types on a map. (Source: State of Connecticut, Department of Energy and Environmental Protection, Land Acquisition and Management)
| Value | Definition |
|---|---|
| DEEP Owned Waterbody |
A DEEP owned waterbody. This category Includes AGNCYFN_CD value EFW. |
| Fish Hatchery |
A DEEP owned fish hatchery. This category Includes AGNCYFN_CD value EFH. |
| Flood Control |
A DEEP owned flood control area. This category Includes AGNCYFN_CD value EC. |
| Historic Preserve |
A DEEP owned historic preserve area. This category Includes AGNCYFN_CD value ERH. |
| Natural Area Preserve |
A DEEP owned natural area preserve. This category Includes AGNCYFN_CD value ERN. |
| Other |
A miscellaneous DEEP owned area. This category Includes AGNCYFN_CD value EO. |
| State Forest |
A DEEP owned state forest. This category Includes AGNCYFN_CD value EXF. |
| State Park |
A DEEP owned state park. This category Includes AGNCYFN_CD value EP. |
| State Park Scenic Reserve |
A DEEP owned state park scenic reserve. This category Includes AGNCYFN_CD value EPS. |
| State Park Trail |
A DEEP owned state park trail. This category Includes AGNCYFN_CD value EPT. |
| Water Access |
A DEEP owned water access site. This category Includes AGNCYFN_CD value EFA. |
| Wildlife Area |
A DEEP owned wildlife area. This category Includes AGNCYFN_CD value EW. |
| Wildlife Sanctuary |
A DEEP owned wildlife sanctuary. This category Includes AGNCYFN_CD value EWS. |
ArcIMS Legend. Text field for symbolizing DEP facility types on a map generated by ArcIMS. (Source: State of Connecticut, Department of Energy and Environmental Protection, Land Acquisition and Management)
| Value | Definition |
|---|---|
| Other DEEP Property |
This category includes the following values from the AV_Legend attribute: DEEP Owned Waterbody, Fish Hatchery, Flood Control, Other, and Water Access. |
| State Park or Preserve |
This category includes the following values from the AV_Legend attribute: Historic Preserve, Natural Area Preserve, State Park, State Park Scenic Reserve, and State Park Trail. |
| State Forest |
This category includes the following values from the AV_Legend attribute: State Forest. |
| Wildlife Area or Sanctuary |
This category includes the following values from the AV_Legend attribute: Wildlife Area and Wildlife Sanctuary. |
DEP Facility Identification Number. Values that correspond to the PROPERTY text values. (Source: State of Connecticut, Department of Energy and Environmental Protection, Land Acquisition and Management)
| Formal codeset | |
|---|---|
| Codeset name: | DEEP Facilities by ID Number |
| Codeset source: | State of Connecticut, Department of Environmental Protection |
Agency Function Code. Text values that identify facility types and that correspond to the AV_LEGEND values. (Source: State of Connecticut, Department of Energy and Environmental Protection, Land Acquisition and Management)
Area of feature in acres. (Source: State of Connecticut, Department of Energy and Environmental Protection, Land Acquisition and Management)
Feature geometry. (Source: ESRI)
Text values that correspond to the DEP_ID values. (Source: State of Connecticut, Department of Energy and Environmental Protection, Land Acquisition and Management)
Includes polygon features for all DEEP owned property such as State Parks, State Forests, Wildlife Areas, etc. Information encoded about these features includes property type classification, two standard cartographic symbology classification schemes, and feature acreage. Use the AV_LEGEND attribute to symbolize features by type on a map. Use the IMS_LEGEND attribute to more generally symbolize the features by type.
James Bogar, Cartographer 1994 to 1997; Howard W. Sternberg III, Environmental Analyst 1994 to 2000; Suzanne Barkyoumb, Property Agent 1997 to 2000; Jacqueline L. Mickiewicz, Environmental Analyst, 2000 to 2010.
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DEEP Property contains property that comprises DEEP facilities such as state forests, parks and wildlife management areas. This layer can be used with the Federal Property and Municipal Open Space layers for a more comprehensive understanding of open space and recreation land throughout the State of Connecticut.
DEEP Parcels layer for statewide DEEP owned land in geodatabase format. Individually acquired parcels' boundaries are retained in this source layer.
DEEP Property layer for statewide DEEP owned land in geodatabase format.
An automated process derives the DEEP Property feature class from the DEEP Parcel polygon features. This process merges adjacent DEEP Parcel polygon features to form DEEP Property features that represent continguous land holdings for the respective state park, forest, wildlife management area, etc. This process is periodically run to recreate the DEEP Property data after the DEEP Parcels data is changed to include new acquisitions or modified to correct errors, etc.
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Attributes in the DEP Property layer have valid values. Values are within defined domains. The AV_LEGEND values are based on the AGNCYFN_CD values. AV_LEGEND decodes the AGNCYFN_CD field. PROPERTY values are based on the DEP_ID values. PROPERTY decodes the DEP_ID field. The values in the above fields have been checked for accuracy by comparing each value to its corresponding value in the related field. AGNCY_NO is always "3100" for the Connecticut Department of Environmental Protection and was verified for each feature. ACRE_GIS, SHAPE_AREA, and SHAPE_LENGTH are all software calculated. ACRE_GIS is the feature area in acres, while SHAPE_AREA and SHAPE_LENGTH are the feature area and length in feet.
No overall positional accuracy level can be established since a variety of methods was used to map, compile and digitize the parcel features. Consequently, the information can be assumed to be no more positionally accurate than the least accurate method, which involved tablet or heads-up digitizing at 1:24000 scale.
The completeness of the data reflects the best available parcel acquisition records within the State of Connecticut Department of Environmental Protection. However, there may be omissions due to file errors, incomplete files, missing files, or staff error in the file retrieval process. No indication of completeness percentage is possible.
No topological rules were applied. No consistency is assumed or implied. Features were digitized by a variety of methods including tablet digitizing, heads-up (screen) digitizing, coordinate geometry data entry, and data retrieved from global positioning satellites (GPS).
None. There are no restrictions or legal prerequisites for using the data. Once acquired, any modification made to the data must be noted in the metadata. When printing this information on a map or using it in a software application, please acknowledge the State of Connecticut, Department of Environmental Protection as the original source for this information.
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| Data format: |
in format Shapefile, Feature Class (version ArcGIS)
|
|---|---|
| Network links: | http://www.ct.gov/deep |
The data distributor does not provide custom GIS analysis or mapping services. Data is available in a standard format and may be converted to other formats, projections, coordinate systems, or selected for specific geographic regions by the party receiving the data.
79 Elm Street