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RESOURCE_POINT
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GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
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dataset
GISLibrarian
Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute
GIS Data Librarian
(727) 896-8626
(727) 893-1679
Fish and Wildlife Research Institute 100 Eighth Avenue Southeast
St. Petersburg
Florida
33701
GISLibrarian@MyFWC.com
20250728
GISLibrarian
Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute
(727) 896-8626
(727) 896-8626
Fish and Wildlife Research Institute 100 Eighth Avenue Southeast
St. Petersburg
Florida
33701
GISLibrarian@MyFWC.gov
8:00 a.m.-5:00 p.m. Eastern time
Contact GIS Librarian by e-mail, telephone, or letter explaining which products are needed and providing a brief description of how the products will be used. Also, provide name and address of the person or organization requesting the products.
http://myfwc.com/research/gis/
File Geodatabase Feature Class
Florida Statewide Environmental Sensitivity Index (ESI): RESOURCE_POINT (Resource Points)
2020-03-01T00:00:00
Second
Florida Wildlife Research Institute (FWRI), Florida Fish and Wildlife Conservation Commission (FWCC)
St. Petersburg, Florida
Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute and Research Planning, Inc.
vector digital data
None
East Florida
Prepared by Research Planning, Inc., Columbia, South Carolina for the Florida Wildlife Research Institute (FWRI), Florida Fish and Wildlife Conservation Commission (FWCC), St. Petersburg, Florida
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set contains human use resource data for National Estuarine Research Reserves (NERR), National Parks (NP), State Protected Areas (SPA), and Wildlife Refuges (WR) throughout Florida. Vector polygons in this data set represent park or managed area features. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. Environmental Sensitivity Index (ESI) is more properly known as 'Sensitivity of Coastal Habitats and Wildlife to Spilled Oil' Atlases. The term 'ESI' is often used in reference to the whole dataset, but the term 'ESI' is really a reference to the classification system of shoreline types known as Environmental Sensitivity Index, that classifies a shoreline on a scale from 1 to 10 based upon overall sensitivity to spilled oil. These datasets were delivered as feature classes in overlapping-polygon format following the NOAA ESI Data Standard. The Florida ESI data format is consistent with the V4 ESI Guidelines.</SPAN></P></DIV></DIV></DIV>
The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources. The ESI data provide sensitive areas data for oil spill planning and response and other environmental management and natural resource purposes. These data also support other related state and federal regulatory requirements for oil spill prevention, planning, response, and restoration.
This ESI database was produced by FWRI staff by combining the ESI data from the NW Peninsula, SW Peninsula, Panhandle, South and East Florida ESI databases. The primary use for this database is for use in the Florida Marine Spill Analysis System (FMSAS) application. For full metadata for other regions please download the source ESI geodatabase for that region from https://geodata.myfwc.com/.
This project was supported by the Florida Wildlife Research Institute (FWRI), Florida Fish and Wildlife Conservation Commission (FWC). Timyn Rice with FWRI served as contract and technical manager for the project. Steven Nicholl, Timyn Rice, Christi Santi, Ryan Druyor, Latosha Thompson, Chris Boland, Ryan Druyor and other FWRI staff contributed significantly to the project, as did many other individuals from several state and federal agencies and other organizations. At Research Planning, Inc. in Columbia, South Carolina, numerous scientific and staff were involved with different phases of the project. Mark White, GIS Director, and Christine Boring, Biology Dept. Manager, were co-Project Managers. The ESI shoreline was classified by Jennifer Horsman, Lee Diveley, and Katy Beckham. The biological data were collected and compiled by Christine Boring, Lauren Szathmary, Jennifer Weaver, and Lincoln Smith. Katy Beckham, Lee Diveley, Jeff Dahlin, and Chris Locke produced the GIS data and final metadata documents.
withheld
Depicts the relationships between spatial data layers and attribute data tables for the East Florida ESI data.
JPEG
Coastal Florida
Southwest Florida
Managed
Oil spill planning
Natural Resource Damage Assessment
G_WIS
Shoreline habitats
ESI
Coastal Zone Management
Coastal resources
Wildlife
Sensitivity maps
ISO 19115 Topic Category
environment
biota
Coastal Florida
Managed
Oil spill planning
environment
Natural Resource Damage Assessment
Florida
G_WIS
biota
Shoreline habitats
ESI
Coastal Zone Management
Coastal resources
Wildlife
Sensitivity maps
This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a Florida Fish and Wildlife Conservation Commission produced data set; it is provided 'as-is' without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the staff of the Florida Fish and Wildlife Conservation Commission be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or the inability to use this data set.
These data are unrestricted. Where possible, always acquire this dataset directly from FWC as other sources may have altered the original data.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. The ESI databases were developed to provide summary information on sensitive natural and human-use resources for the purposes of oil spill planning, environmental planning, and natural resource management. Although the ESI data should be a valuable planning and resource management tool, they should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, these data cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Also, these data and any related map products should not be used for navigation. Recognize that the information contained in the ESI databases represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, archaeological sites, etc. For more information or guidance on proper and improper uses of these data, please contact the Fish and Wildlife Research Institute (FWRI) and Research Planning, Inc. Acknowledgement of the publishers, contributors, and sources listed in the Data_Set_Credit (below) and Lineage section of this document would be appreciated in products derived from or utilizing these data. Users are encouraged to read and fully comprehend the metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. Users should be aware that comparison with other data sets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection, and computer processes over time. FWC shall not be liable for improper or incorrect use of this data. These data are not legal documents and are not to be used as such. This is not a survey data set and should not be utilized as such. These data are not to be used for navigation. Besides the above warnings, there are no use constraints on these data.</SPAN></P></DIV></DIV></DIV>
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
The data were compiled during 2017-2020. The currentness dates for this data range from 2011 to 2019 and are documented in the Lineage section.
2011-01-01
2019-01-01
-81.91765
-76.59313
26.36432
30.77805
1
-81.992673
-79.891157
30.722586
26.363557
Last metadata review date: 202003
A multi-stage error checking process, described in the above Attribute_Accuracy_Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the ESI manager, where the data are written to CD-ROM and the metadata are written. RARNUM's are defined on an element basis, so 'resources at risk' groupings will contain only a single element.
A multi-stage error checking process, described in the above Attribute_Accuracy_Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the ESI manager, where the data are written to CD-ROM and the metadata are written. RARNUM's are defined on an element basis, so 'resources at risk' groupings will contain only a single element.
These data represent a synthesis of expert knowledge and digital data on human use resources. These data do not necessarily represent all Managed polygons in East Florida.
A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, contact the sources listed in the Lineage section. The attribute accuracy is estimated to be 'good' given the years of ESI experience, the data input methodology, the quality control review sessions, and the digital logical consistency checks.
Spatial components for the human-use data layers can come from expert interviews, hardcopy, or digital sources. Most of the spatial components of the human-use data layers are developed from pre-existing digital or hardcopy sources and reflect the positional accuracy of these original data. Some of the spatial components of the human-use data layers are compiled on hardcopy base maps with a scale of 1:24,000. See the Lineage and Process_Description sections for more information on the original source data and how these data were integrated or manipulated to create the final data set.
This statewide ESI dataset includes five merged datasets, each representing a different region of Florida. The Panhandle data was created in 2012, followed by the South Florida dataset in 2013. The Southwest Peninsular dataset dates back to 2016, and the Northwest Peninsular data was created in 2017. The most recent update is the East Florida dataset, which was finalized in 2020. The St. Johns River ESI was last updated in 2003.
ESI human use datasets: merged all regions data. Panhandle and South Florida included all human use data in SOCECON feature classes. Where applicable, human use features were moved to the additional human use feature classes in the current ESI database schema. Updated HUNUM and SOURCE fields to use numbers unique across atlases as was done in the SOURCES and SOC_DATA tables.
2025-01-01T00:00:00
GISLibrarian
Florida Wildlife Research Institute (FWRI)
(727) 896-8626
(727) 893-1679
100 Eighth Avenue, S.E.
St. Petersburg
Florida
33701
GISLibrarian@MyFWC.gov
0
EPSG
6.18.3(9.3.1.2)
In addition to the geographic data layers, two relational attribute or data tables, SOC_DAT, and SOURCES, are used to store the complex socioeconomic data in the ESI data structure. The geographic data layer containing socioeconomic data resource information (in this case, MANAGED_POLY) is linked to the Socioeconomic Resources table (SOC_DAT) using HUNUM. The HUNUM represents a unique combination of tabular and source information. SOC_DAT and the other relational data tables are described below in detail. See the Browse_Graphic section for a link to the entity-relationship diagram, which describes the way these tables relate to the geographic data layers and other attribute tables in the ESI data structure.
A complete description of entity types, attributes, and attribute values for ESI atlases can be found in the NOAA ESI Guidelines (http://response.restoration.noaa.gov/esi_guidelines).
ESI_RESOURCE_pnt
Feature Class
0
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
0
0
HUNUM
HUNUM
Integer
4
0
0
TYPE
TYPE
String
3
0
0
Simple
FALSE
0
TRUE
FALSE
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