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ArcGIS Pro 2.9
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
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The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
This is a once-over landslide inventory of the Tongass National Forest. This inventory includes all mass wasting features, including talus slopes, snow avalanche fields, and snow avalanche chutes. Each of these are coded differently in the attributes. It may be necessary to exclude several polygons in this data set when using it to determine landslide rates. Most of these landslide polygons were digitized on the 1998 to 2010 orthophotos in GIS. Many of them were age bracketed using air photos back to the 1929 Navy Trimegon photos. It includes both field and photo interpreted landslides. Not all of the landslides included once-over completed in FY2017 were age bracketed. There is an associated Points feature class (Tongass_Landslide_Initiation) that represents the landslide initiation zone approximations. These points only exist for true landslides: debris avalanches, debris torrents, combination debris avalanches/torrents, slumps, rotation failures, and rock fall-initiated failures.�Metadata
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This is the point feature class for the once-over landslide inventory of the Tongass National Forest. Most of the landslide polygons were digitized on the 1998 to 2010 orthophotos in GIS. Many of them were age bracketed using air photos back to the 1929 Navy Trimegon photos. It includes both field and photo interpreted landslides. This point layer represents initiation points for debris avalanches, debris torrents, combination-debris avalanches/torrents, slumps, rock fall initiated failures, and rotational failures. There is an accompanying polygon feature class (Tongass_Landslide_Areas), which represents all mass wasting features, including talus slopes, snow avalanche fields, and snow avalanche chutes. Metadata
Five miles west of Osa, Washington a landslide occured after two weeks of heavy rainfall, where the hills above the rural development gave way, sending a torrent of rock, mud, and debris through the town. Forty-nine homes were destroyed and 43 lives were lost, covered in over a square mile of hillside debris. This map tells part of the story of Osa.
THE EARTH SCIENCE GEOINQUIRY COLLECTION
http://www.esri.com/geoinquiries
To support Esri’s involvement in the White House ConnectED Initiative, GeoInquiry instructional materials using ArcGIS Online for Earth Science education are now freely available.
The Earth Science GeoInquiry collection contains 15 free, web-mapping activities that correspond and extend map-based concepts in leading middle school Earth science textbooks. The activities use a standard inquiry-based instructional model, require only 15 minutes for a teacher to deliver, and are device agnostic. The activities harmonize with the Next Generation Science Standards. Activity topics include:
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Topographic maps
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Remote sensing
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Minerals / Mining
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Rock Types
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Landforms
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Plate tectonics
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Earthquakes
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Volcanoes
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Mountain building
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Fresh water
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Ocean features
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Ground wind and temperature patterns
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Weather
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Storms
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Climate change
Teachers, GeoMentors, and administrators can learn more at http://www.esri.com/geoinquiries
This is the point feature class that contains the landslide initiation zone approximations for the Tongass National Forest landslide inventory. It includes both field and photo interpreted landslides. These points only exist for true landslides--debris avalanches, debris torrents, combination debris avalanches/torrents, slumps, rotational failures, and rock fall-initiated failures. Most of the landslides were digitized on the 1998 to 2010 ortho photos in GIS, although some were digitized using ortho photos taken as recently as 2018. All the landslides, including those completed in FY2020, were age bracketed within the available photo data sets. Many of them were age bracketed using air photos back to the 1929 Navy Trimegon photos.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Mitjanes diàries de la qualitat de l'aire mesurades automàticament per la Xarxa de Vigilància i Previsió de la Qualitat de l'Aire (XVPCA). Dades a partir de l'any 2017. La qualitat de l’aire és avaluada per la Generalitat de Catalunya a partir de les dades recollides a l’estació automàtica situada al parc del Torrent Magí de la nostra ciutat. - Font: Xarxa de Vigilància i Previsió de la Qualitat de l'Aire (XVPCA) - Actualització: trimestral - Formats: Descripció dels contaminants: As-Arsènic (captador manual) B(a)p-Benzo(a)pirè (captador manual) Cd-Cadmi (captador manual) Ni-Níquel (captador manual) NO-Monòxid de nitrogen (analitzador automàtic) NOx-Òxid de nitrogen totals (analitzador automàtic) NO2-Diòxid de nitrogen (analitzador automàtic) O3-Ozó (analitzador automàtic) Pb-Plom (captador manual) PM10-Partícules en suspensió <10µm (analitzador automàtic) PM10-Partícules en suspensió <10µm (captador manual) SO2-Diòxid de sofre (analitzador automàtic)
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CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
ArcGIS Pro 2.9