3 datasets found
  1. s

    City of Upland City Council Districts

    • open.sbcounty.gov
    • data-sbcounty.opendata.arcgis.com
    • +1more
    Updated Oct 26, 2021
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    County of San Bernardino (2021). City of Upland City Council Districts [Dataset]. https://open.sbcounty.gov/maps/city-of-upland-city-council-districts/explore
    Explore at:
    Dataset updated
    Oct 26, 2021
    Dataset authored and provided by
    County of San Bernardino
    Area covered
    Description

    To download:1. Click the Download button above.2. A side panel will appear showing download options. Under Shapefile, click the Download button.3. When the download completes, browse to the location of the downloaded .zip, copy it to the location where you manage your redistricting files, then right-click to extract the contents. You will then be able to use the file in GIS software.If, rather than downloading the data, you wish the reference online versions of these datasets directly to ensure you are always using the most up-to-date data, please contact the County of San Bernardino Innovation and Technology Departments at 909-884-4884 or by emailing OpenData@isd.sbcounty.gov for informations and instructions for doing so.This dataset should only be used for the purpose of establishing election divisions within a district. It will be removed once the redistricting process has concluded.

  2. a

    City of Upland VIEW

    • hlplanning.hub.arcgis.com
    Updated Nov 22, 2022
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    Houseal Lavigne (2022). City of Upland VIEW [Dataset]. https://hlplanning.hub.arcgis.com/maps/a7c407ac5888430c9d6cfa988b5fb0bc
    Explore at:
    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    Houseal Lavigne
    Description

    The City of Upland VIEW is a Web Scene used in SBCTA analysis. It includes 1 distinct operational layers.

  3. Data from: AMPHIBIAN CONSERVATION IN AN URBAN PARK: A spatial approach to...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, pdf
    Updated Jul 19, 2024
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    Zishan Cassiem Ebrahim; Zishan Cassiem Ebrahim (2024). AMPHIBIAN CONSERVATION IN AN URBAN PARK: A spatial approach to quantifying threats to Anura on the Cape peninsula [Dataset]. http://doi.org/10.5281/zenodo.4740260
    Explore at:
    bin, csv, pdfAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Zishan Cassiem Ebrahim; Zishan Cassiem Ebrahim
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cape Peninsula
    Description

    Species' threat assessments produce generalized threat impact scores, often by considering regional-scale representations of threats. Cities, on the other hand, produce municipal-scale, high resolution data that are proxies for threats; furthermore, cities in mega-diverse regions are home to a high number of threatened species. Prioritization of conservation action is biased for where more information is known (about the ecosystem), and where a positive outcome can be anticipated. Eight Cape peninsula amphibian species have a threatened conservation status. They are isolated on highlands or are restricted to remnant and suburban habitats, dependent on both urban and protected terrestrial and freshwater habitats found in the City of Cape Town and Table Mountain National Park.

    In Chapter Two, I used spatial data (shapefiles) to represent threats in a Geographic Information System to spatially define threats to eight amphibian species (five lowland, three upland). I used two approaches: weighted and un-weighted by a threat impact-score, to produce five indices of local threats. The Micro Frog (Microbatrachella capensis) is assessed as the most threatened peninsula frog species by three of the five indices considered. The results show that for lowland species, the threat-class of greatest extent is 'Residential and commercial development'. The three lowland species most exposed to this threat are M. capensis (100% exposed to potential development), Breviceps gibbosus (55.6% of its 8.5 km2 putative peninsula distribution), and Sclerophrys pantherina (38.4% of its 199.7 km2 distribution). The Compounded and the General Threat Index correlate to the (global) Redlist Index (P < 0.05); but no correlation to the regional Red Listing, indicating congruency of threats and threat status.

    The Critically Endangered Table Mountain Ghost Frog (Heleophryne rosei) is torrent adapted, and found only on the Table Mountain massif. CapeNature monitors tadpoles, and SANParks monitors (selected) stream parameters. In Chapter Three, I analyse water-habitat monitoring data (controlled for altitude) to show where threats of habitat alteration, drought, or temperature extremes may affect the H. rosei metapopulation. Permanence of water-flow and water temperature are shown to be very highly significant predictors of tadpole presence (p = 0.0005, r = 0.78). The lower the water temperature, the more likely tadpoles are present. Streams with a mean summer temperature greater than 17.2°C (n=3) at 400 to 300 meters above sea level were found to have no tadpoles at this altitude. Permanence of water flow is significant, as tadpoles need more than one year to reach metamorphosis. Summer water temperatures over an average of 17.2°C should be a red-flag for management authorities responsible for bulk-water supply, threat mitigation efforts, and biodiversity conservation.

    Spatial indices of threat are useful to illustrate the relative exposure to threats at a local (city) scale. Threats to different lowland amphibians are similar (e.g. residential and commercial development), which varies from the mutual threats to different upland amphibians. Fundamental to stream species' conservation is water supply and demand management, while upland terrestrial species are most affected by veld age and invasive alien flora. Some threats are common for both areas (e.g. invasive alien species).

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County of San Bernardino (2021). City of Upland City Council Districts [Dataset]. https://open.sbcounty.gov/maps/city-of-upland-city-council-districts/explore

City of Upland City Council Districts

Explore at:
Dataset updated
Oct 26, 2021
Dataset authored and provided by
County of San Bernardino
Area covered
Description

To download:1. Click the Download button above.2. A side panel will appear showing download options. Under Shapefile, click the Download button.3. When the download completes, browse to the location of the downloaded .zip, copy it to the location where you manage your redistricting files, then right-click to extract the contents. You will then be able to use the file in GIS software.If, rather than downloading the data, you wish the reference online versions of these datasets directly to ensure you are always using the most up-to-date data, please contact the County of San Bernardino Innovation and Technology Departments at 909-884-4884 or by emailing OpenData@isd.sbcounty.gov for informations and instructions for doing so.This dataset should only be used for the purpose of establishing election divisions within a district. It will be removed once the redistricting process has concluded.

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