{ "culture": "en-US", "name": "", "guid": "", "catalogPath": "", "snippet": "The data layers included in this Northern California Regional Resource Kit were assembled/developed by a partnership that includes the Pacific Southwest Research Station of the U.S. Forest Service, the Fire and Resource Assessment Program (FRAP) of CALFIRE, the Climate and Wildfire Institute, and faculty from the University of California Berkeley and Irvine. This science team is working together at the behest of the California Wildfire and Forest Resilience Task Force. As we continue to develop geospatial data for landscape assessment and planning throughout the state, this partnership has now taken the lead in the creation of the Regional Resource Kits for the four regions of California.\n\nThe RRK has adopted the Framework for Resilience to provide a structure for assessing landscape conditions, setting objectives, designing projects, and measuring progress towards social-ecological resilience. There are ten pillars that represent the desired outcomes of landscape resilience. Each of the pillars provides a series of elements and under the elements, metrics (the data layers) for assessing landscape conditions and verifying that actions meet resilience objectives.\n\nThe metrics are organized by the ten pillars of resilience in the Framework for Resilience. The Metrics describe the characteristics of the elements (key characteristics) of each pillar in quantitative or, in a few cases, qualitative terms. Metrics are used to assess, plan for, measure, and monitor progress toward desired outcomes and greater resilience. Metrics are selected to be informative, meaningful, and actionable to meet the needs of management.\n\nThe metrics are also divided into three \u201ctiers.\u201d Among all these metrics, some are created and relevant statewide. Other metrics are more suited to conditions within a given region. The \u201cTiers\u201d for metrics included in each RRK:\n\nTier 1 \u2013 metrics that are a single, consistent data layer, developed statewide; they can also be clipped to the boundary of the region so values within that region are the only...", "description": "- Metric Name: American Indian or Alaska Native race alone Population Concentration\n\n- Tier: 2\n\n- Data Vintage: 09/2021\n\n- Unit Of Measure: Categorical, p, p, p, p, p, p, p, p, p, - Metric Definition and Relevance: Relative concentration of the Northern California region\u2019s American Indian population. The variable AIANALN records all individuals who select American Indian or Alaska Native as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with American Indian / Alaska Native race alone. IMPORTANT: this self reported ancestry and Tribal membership are distinct identities and one does not automatically imply the other. These data should not be interpreted as a distribution of \u201cTribal people.\u201d Numerous Rancherias in the Northern California region account for the wide distribution of very to extremely high concentrations of American Indians outside the San Francisco Bay Area., p, - Creation Method: Data reporting units are Census block groups. Standard block groups are clusters of Census blocks within the same census tract that have the same first digit of their 4-character census block number (e.g., Blocks 3001, 3002, 3003 to 3999 in census tract 1210.02 belong to block group 3). Block groups delineated for the 2020 Census generally contain 600 to 3,000 people., p, p, p, p, p, p", "summary": "The data layers included in this Northern California Regional Resource Kit were assembled/developed by a partnership that includes the Pacific Southwest Research Station of the U.S. Forest Service, the Fire and Resource Assessment Program (FRAP) of CALFIRE, the Climate and Wildfire Institute, and faculty from the University of California Berkeley and Irvine. This science team is working together at the behest of the California Wildfire and Forest Resilience Task Force. As we continue to develop geospatial data for landscape assessment and planning throughout the state, this partnership has now taken the lead in the creation of the Regional Resource Kits for the four regions of California.\n\nThe RRK has adopted the Framework for Resilience to provide a structure for assessing landscape conditions, setting objectives, designing projects, and measuring progress towards social-ecological resilience. There are ten pillars that represent the desired outcomes of landscape resilience. Each of the pillars provides a series of elements and under the elements, metrics (the data layers) for assessing landscape conditions and verifying that actions meet resilience objectives.\n\nThe metrics are organized by the ten pillars of resilience in the Framework for Resilience. The Metrics describe the characteristics of the elements (key characteristics) of each pillar in quantitative or, in a few cases, qualitative terms. Metrics are used to assess, plan for, measure, and monitor progress toward desired outcomes and greater resilience. Metrics are selected to be informative, meaningful, and actionable to meet the needs of management.\n\nThe metrics are also divided into three \u201ctiers.\u201d Among all these metrics, some are created and relevant statewide. Other metrics are more suited to conditions within a given region. The \u201cTiers\u201d for metrics included in each RRK:\n\nTier 1 \u2013 metrics that are a single, consistent data layer, developed statewide; they can also be clipped to the boundary of the region so values within that region are the only...", "title": "AmericanIndian_202109.tif", "tags": [ "environment", "geoscientific Information", "planning Cadastre", "land management", "landscape restoration" ], "type": "", "typeKeywords": [], "thumbnail": "", "url": "", "minScale": 150000000, "maxScale": 5000, "spatialReference": "", "accessInformation": "U.S. Department of Commerce, Census Bureau, 2020 Decennial Census\nRedistricting File (PL 94-171).\n\nRacial identity data are reported in Table P1 of the PL 94-171 release.\nPopulation counts were obtained via the Data.Census.Gov web portal and joined\nto the Census Bureau\u2019s TIGER/line feature classes for block groups (see\nreporting units above).", "licenseInfo": "

Appropriate use includes regional to statewide assessments of vegetation cover, land cover, or land use change trends, total extent of vegetation cover, land cover, or land use change, and aggregated summaries of vegetation cover, land cover, or land use change. Further use includes applying these data to assess management opportunities for treatments to restore landscape resiliency. The authors make no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. For all data layers you are free to share, copy, and redistribute the material in any medium or format AND adapt, remix, transform, and build upon the material for any purpose, even commercially under the following terms:<\/SPAN><\/P>

Attribution \u2014 You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. <\/SPAN><\/P>

ShareAlike \u2014 If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. <\/SPAN><\/P>

No commercial use \u2013 the user is responsible for acknowledging those data layers within this RRK (as determined by the source of the data) that are not permitted for commercial use. <\/SPAN><\/P>

No additional restrictions \u2014 You may not apply legal terms or technological measures that legally restrict others from doing anything this license permits.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "portalUrl": "" }