This subset of the Florida panther (Puma concolor coryi) mortality database contains all known and documented mortalities in the state of Florida including known or likely causes. This dataset reflects dead Florida panthers from Feburary 13, 1972 to December 31, 2018. This is an update to the layer panther_mortality_dec17.
To monitor Florida panther mortalities and document their locations and causes.
This dataset includes only those mortalities with known coordinate locations.
publication date
Users should read and fully comprehend this 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. If any data are modified, please share the edited information with FWC. Users should be aware that comparison with other data sets for the same area may be inaccurate. Users should acquire the best available data. FWC shall not be liable for improper or incorrect use of these data.
620 S. Meridian St 5B6
GeoPlan relied on the integrity of the attribute information within the original data.
Logically consistent. All attributes fall within defined values.
These data are complete as of the data available to FWRI in December 2018.
Unknown. However, locations were validated using physical descriptions of locations.
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
Spatial and Attribute Information
Spatial and Attribute Information
Received panther telemetry database from Panther Team, containing a cumulative table of spatial coordinates of mortality locations since Feb 1972, as well as associated attributes. Isolated present year data, created XY event of the data using a UTM NAD 83 Zone 17 projection. Projected to Modified Florida Albers using the NAD_1983_To_HARN_Florida transformation, appended to existing shapefile using the Data Management Merge tool and updated this metadata record.
Features in spreadsheet with 0 latitude and longitude coordinates were removed from the spatial file. A point in Georgia which had incorrect UTM coordinates was corrected. Records with "Type" = "Injury" were removed from the dataset, and then the "Type" field was also removed.
The GeoPlan Center took the following steps during the QA/QC process: - Downloaded the datasets from FFWCC on 6/12/2019 using this link: http://geodata.myfwc.com/datasets/florida-panther-mortality (original dataset was in shapefile format and in the WGS 1984 geographic coordinate system). - Two points were located outside of the FL boundary, these points were removed. PANTHERID - (UCFP123) AND (FP240) - The dataset was projected into the FGDL Albers HPGN projection using the WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida transformation. - OBJECTID field was removed. - DESCRIPT field added based on the LOCATION field. - FGDLAQDATE field added based on the date the dataset was downloaded from the source. MGRS, LAT_DD, LONG_DD, and GOOGLEMAP fields added - The longest record for each field was found and field character lengths were shortened to appropriate shortest lengths possible. - Uppercased fields and appropriate records in the dataset. - Layer name changed from Florida_Panther_Mortality.shp to panther_mortality_dec18.shp
Dataset copied.
Internal feature number.
ESRI
Feature geometry.
ESRI
Identification code of individual panther
FWC
Gender of panther killed.
FWC
Male
Female
Unknown
Estimated and known ages at death
FWC
Narrative indicating location details
FWC
Determined cause of death
FWC
Year of incident
FWC
Undefined by Source
FWC
Latitude in decimal degrees.
GeoPlan
Longitude in decimal degrees
GeoPlan
Military Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth.
GeoPlan
Webpage hyperlink to location in Google Maps
GeoPlan
GeoPlan added field based on LOCATION
GeoPlan
The date GeoPlan acquired dataset from source
GeoPlan
Unique ID added by GeoPlan
GeoPlan
FWC
431 Architecture PO Box 115706
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html
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620 S. Meridian St 5B6