University of Florida - GeoPlan Center
20200528
iNaturalist Observations in Florida - May 2020
Vector Digital Data Set (Point)
Gainesville, Fl
University of Florida - GeoPlan Center
State of Florida
www.fgdl.org
This dataset represents a selection of research-grade iNaturalist observations from 2000-01-01 to 2020-05-28. This dataset has been limited to the following species: Black Bear, Bobcat, River Otter, and various Milkweeds. iNaturalist is a citizen science project and online social network of naturalists, citizen scientists, and biologists built on the concept of mapping and sharing observations of biodiversity across the globe.
For a variety of planning purposes
20000101
20200528
Unknown
As needed
-87.499918
-79.884997
31.023700
25.013228
ISO 19115 Topic Category
biota
None
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
University of Florida - GeoPlan Center
Alexis Thomas
Center Director
mailing and physical
431 Architecture Building
Gainesville
Fl
32611
US
3523928686
data@fgdl.org
inaturalist.org
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
GeoPlan relied on the integrity of the attribute information within the original data.
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
0
onLine
data retrieved from the following website: https://www.inaturalist.org/observations sample iNaturalist query: Query q=Lontra+canadensis&quality_grade=research&identifications=any&place_id=21&d1=2000-01-01&d2=2020-05-28 Columns id, observed_on_string, observed_on, time_observed_at, time_zone, user_id, user_login, created_at, updated_at, quality_grade, license, url, image_url, sound_url, tag_list, description, num_identification_agreements, num_identification_disagreements, captive_cultivated, oauth_application_id, place_guess, latitude, longitude, positional_accuracy, geoprivacy, taxon_geoprivacy, coordinates_obscured, positioning_method, positioning_device, species_guess, scientific_name, common_name, iconic_taxon_name, taxon_id === select species and location -selected 'Research' grade observations from 2000-01-01 to 2020-05-28 -download csv ArcMap: Add XY data Filter on 'scientific name' removed other species (see queries) removed coordinates_obscured merge all layers reproject delete extra fields add MGRS fields add FGDLAQDATE add DESCRIPT, calc consistent common name based on query: scientific_name LIKE 'Ursus%' scientific_name LIKE 'Lynx%' scientific_name LIKE 'Asclepias tub%' scientific_name LIKE 'Lontra%' scientific_name LIKE 'Asclepias humis%' xtools table restructure (field lengths) xtools new feature class w/ upcase field names (xml schema) coordinates_obscured definition: Public coordinates are shown as a random point within a 0.2 by 0.2 degree area that contains the true coordinates. This area works out to about a 22 by 22 kilometer area at the equator, decreasing in size and narrowing as you approach the poles. The randomized public coordinates appear within the rectangle as a circular marker without a stem. True coordinates are only visible to you, trusted users, and trusted project curators. iNaturalist Network organizations, in their respective countries, can view true coordinates for taxa set to automatically obscure, but they can only view your manually obscured coordinates if you choose to affiliate with the network in your account settings.
GeoPlan
20200606
Vector
Entity point
1751
NAD 1983 HARN Florida GDL Albers
24.0
31.5
-84.0
24.0
400000.0
0.0
coordinate pair
0.0001
0.0001
meter
D North American 1983 HARN
GRS 1980
6378137.0
298.257222101
INATURALIST_MAY20
INATURALIST_MAY20
INATURALIST_MAY20
Producer Defined
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
ID
iNaturalist ID
Producer Defined
2712
47649020
OBSERVED_ON_STRING
Date of observation in string format
Producer Defined
OBSERVED_ON
Date of observation in date format
Producer Defined
2000-03-05 00:00:00
2020-05-28 00:00:00
USER_ID
User ID of observation
Producer Defined
17
3042823
USER_LOGIN
Username of observer
Producer Defined
CREATED_AT
Producer Defined
UPDATED_AT
Producer Defined
QUALITY_GRADE
Quality of the observation.
Producer Defined
LICENSE
Producer Defined
URL
Link to iNaturalist viewable in web browser.
Producer Defined
IMAGE_URL
Link to iNaturalist hosted photo of the observation
Producer Defined
OAUTH_APPLICATION_ID
Producer Defined
393.0
393.0
LATITUDE
Latitude of the observation
Producer Defined
25.0239195
30.99574119
LONGITUDE
Longitude of the observation
Producer Defined
-87.47727346
-80.05111911
SPECIES_GUESS
Producer Defined
SCIENTIFIC_NAME
Scientific name of observation
Producer Defined
COMMON_NAME
Common name of observation
Producer Defined
ICONIC_TAXON_NAME
Iconic taxon name
Producer Defined
TAXON_ID
Link to taxonomy database
Producer Defined
41638
632297
LAT_DD
Latitude in decimal degrees
Producer Defined
25.02391856
30.995744
LONG_DD
Longitude in decimal degrees
Producer Defined
-87.47727349
-80.05112156
MGRS
MGRS number
Producer Defined
GOOGLEMAP
Google map link
Producer Defined
FGDLAQDATE
Date GeoPlan downloaded from the source
Producer Defined
2020-05-29 00:00:00
2020-05-29 00:00:00
DESCRIPT
GeoPlan added field based on common name.
Producer Defined
SHAPE
Feature geometry.
ESRI
Coordinates defining the features.
AUTOID
Producer Defined
1
1751
Florida Geographic Data Library (FGDL)
mailing and physical
431 Achitecture Building
Gainesville
Fl
32611
US
Web site: http://www.fgdl.org
DOWNLOADABLE DATA
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
Vector Digital Data Set (Point)
This data is intended for use with a Geographic Information Systems or Remote Sensing software package.
20200902
University of Florida - GeoPlan Center
Alexis Thomas
Center Director
mailing and physical
431 Architecture Building
Gainesville
Fl
32611
US
3523928686
data@fgdl.org
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time