27 datasets found
  1. d

    CJCZO -- GIS/Map Data -- EEMT -- Santa Catalina Mountains -- (2010-2010)

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    Craig Rasmussen; Matej Durcik (2021). CJCZO -- GIS/Map Data -- EEMT -- Santa Catalina Mountains -- (2010-2010) [Dataset]. https://search.dataone.org/view/sha256%3Af79c5b6ae39494aa0732981635ad3e39b5f731343ea03de995bc59a1c67ceb6b
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Craig Rasmussen; Matej Durcik
    Time period covered
    Jan 1, 2010 - Dec 31, 2010
    Area covered
    Description

    Yearly effective energy and mass transfer (EEMT) (MJ m−2 yr−1) was calculated for the Catalina Mountains by summing the 12 monthly values. Effective energy and mass flux varies seasonally, especially in the desert southwestern United States where contemporary climate includes a bimodal precipitation distribution that concentrates in winter (rain or snow depending on elevation) and summer monsoon periods. This seasonality of EEMT flux into the upper soil surface can be estimated by calculating EEMT on a monthly basis as constrained by solar radiation (Rs), temperature (T), precipitation (PPT), and the vapor pressure deficit (VPD): EEMT = f(Rs,T,PPT,VPD). Here we used a multiple linear regression model to calculate the monthly EEMT that accounts for VPD, PPT, and locally modified T across the terrain surface. These EEMT calculations were made using data from the PRISM Climate Group at Oregon State University (www.prismclimate.org). Climate data are provided at an 800-m spatial resolution for input precipitation and minimum and maximum temperature normals and at a 4000-m spatial resolution for dew-point temperature (Daly et al., 2002). The PRISM climate data, however, do not account for localized variation in EEMT that results from smaller spatial scale changes in slope and aspect as occurs within catchments. To address this issue, these data were then combined with 10-m digital elevation maps to compute the effects of local slope and aspect on incoming solar radiation and hence locally modified temperature (Yang et al., 2007). Monthly average dew-point temperatures were computed using 10 yr of monthly data (2000–2009) and converted to vapor pressure. Precipitation, temperature, and dew-point data were resampled on a 10-m grid using spline interpolation. Monthly solar radiation data (direct and diffuse) were computed using ArcGIS Solar Analyst extension (ESRI, Redlands, CA) and 10-m elevation data (USGS National Elevation Dataset [NED] 1/3 Arc-Second downloaded from the National Map Seamless Server at seamless.usgs.gov). Locally modified temperature was used to compute the saturated vapor pressure, and the local VPD was estimated as the difference between the saturated and actual vapor pressures. The regression model was derived using the ISOHYS climate data set comprised of approximately 30-yr average monthly means for more than 300 weather stations spanning all latitudes and longitudes (IAEA).

  2. d

    CJCZO -- GIS/Map Data -- EEMT -- Jemez River Basin -- (2010-2010)

    • search.dataone.org
    • hydroshare.org
    • +2more
    Updated Dec 5, 2021
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    Craig Rasmussen; Matej Durcik (2021). CJCZO -- GIS/Map Data -- EEMT -- Jemez River Basin -- (2010-2010) [Dataset]. https://search.dataone.org/view/sha256%3A5f9bd5e7817bde1f4eb38f02ef73098d9d7dcaf055b134a7ed47f111b38e8c92
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Craig Rasmussen; Matej Durcik
    Time period covered
    Jan 1, 2010 - Dec 1, 2010
    Area covered
    Description

    Yearly effective energy and mass transfer (EEMT) (MJ m−2 yr−1) was calculated for the Valles Calders, upper part of the Jemez River basin by summing the 12 monthly values. Effective energy and mass flux varies seasonally, especially in the desert southwestern United States where contemporary climate includes a bimodal precipitation distribution that concentrates in winter (rain or snow depending on elevation) and summer monsoon periods. This seasonality of EEMT flux into the upper soil surface can be estimated by calculating EEMT on a monthly basis as constrained by solar radiation (Rs), temperature (T), precipitation (PPT), and the vapor pressure deficit (VPD): EEMT = f(Rs,T,PPT,VPD). Here we used a multiple linear regression model to calculate the monthly EEMT that accounts for VPD, PPT, and locally modified T across the terrain surface. These EEMT calculations were made using data from the PRISM Climate Group at Oregon State University (www.prismclimate.org). Climate data are provided at an 800-m spatial resolution for input precipitation and minimum and maximum temperature normals and at a 4000-m spatial resolution for dew-point temperature (Daly et al., 2002). The PRISM climate data, however, do not account for localized variation in EEMT that results from smaller spatial scale changes in slope and aspect as occurs within catchments. To address this issue, these data were then combined with 10-m digital elevation maps to compute the effects of local slope and aspect on incoming solar radiation and hence locally modified temperature (Yang et al., 2007). Monthly average dew-point temperatures were computed using 10 yr of monthly data (2000–2009) and converted to vapor pressure. Precipitation, temperature, and dew-point data were resampled on a 10-m grid using spline interpolation. Monthly solar radiation data (direct and diffuse) were computed using ArcGIS Solar Analyst extension (ESRI, Redlands, CA) and 10-m elevation data (USGS National Elevation Dataset [NED] 1/3 Arc-Second downloaded from the National Map Seamless Server at seamless.usgs.gov). Locally modified temperature was used to compute the saturated vapor pressure, and the local VPD was estimated as the difference between the saturated and actual vapor pressures. The regression model was derived using the ISOHYS climate data set comprised of approximately 30-yr average monthly means for more than 300 weather stations spanning all latitudes and longitudes (IAEA).

  3. a

    30 19 House Powerpoint Presentation

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 9, 2024
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    Chatham County GIS Portal (2024). 30 19 House Powerpoint Presentation [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/afc379ef2d824b968399edcdcb16545c
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding request by George Farrell, Jr. for a Conditional Use B-1 Business Permit for expansion of the self storage business located across McGhee Rd and for flex office buildings (various business uses) with related storage located at the corner of Farrington Point Rd (SR 1008) and McGhee Rd (SR 1717), Williams Township.

  4. a

    25 3 McCampell Powerpoint Presentation at Public Hearing

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 16, 2024
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    Chatham County GIS Portal (2024). 25 3 McCampell Powerpoint Presentation at Public Hearing [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/ced5fd8716db4113b135974044ae09d4
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding public hearing request by Rocky McCampbell to rezone approximately 1 acre of a 4.03 acre tract located at 1115 Mt. Carmel Church Rd., Parcel No. 64812, Williams Township, from R-1 Residential to Conditional Use Neighborhood Business (CU-NB).

  5. c

    i12 Salinity Contours

    • gis.data.ca.gov
    • data.ca.gov
    • +4more
    Updated May 23, 2024
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    Carlos.Lewis@water.ca.gov_DWR (2024). i12 Salinity Contours [Dataset]. https://gis.data.ca.gov/items/1adc53539951477ba09b8b5c492b15d8
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    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    Data represents maximum up-estuary intrusion of the 1 ppt salinity contour. The lines represent 1000 ppt chloride per million, measured 1½ hours after high tide. This data contains contours for 1921-1990.

  6. a

    29 5 BC Phase 13 an Phase 14 PowerPoint Presentation for Planning Board v...

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated May 5, 2025
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    Chatham County GIS Portal (2025). 29 5 BC Phase 13 an Phase 14 PowerPoint Presentation for Planning Board v Final [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/002dd54b8caf468eae09d62b86618d93
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    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding a request by Tanya Matzen, Vice President, on behalf of NNP Briar Chapel, LLC for subdivision Final Plat review and approval of Briar Chapel, Phase 14, consisting of 89 lots on 31.45 acres, located off Catullo Run, Baldwin Township, parcels #89624.

  7. a

    16 6 Powerpoint Presentation to the BOC on 6 20 11

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 16, 2024
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    Chatham County GIS Portal (2024). 16 6 Powerpoint Presentation to the BOC on 6 20 11 [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/0ad1212ed1534eec892b48e7fa38b91c
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding public hearing request by the Chatham County Board of Commissioners for text amendments to the Subdivision Regulations to modify the subdivision process and standards.

  8. H

    Public GIS files for mapping carbonate springs

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Aug 19, 2024
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    Laura Toran; Michael Jones (2024). Public GIS files for mapping carbonate springs [Dataset]. https://www.hydroshare.org/resource/07ebf29817dc423aae09de01741c167e
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    zip(5.1 MB)Available download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    HydroShare
    Authors
    Laura Toran; Michael Jones
    License

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

    Area covered
    Description

    This abstract contains links to public ArcGIS maps that include locations of carbonate springs and some of their characteristics. Information for accessing and navigating through the maps are included in a PowerPoint presentation IN THE FILE UPLOAD SECTION BELOW. Three separate data sets are included in the maps:

    1. Geochemistry data from the US Water Quality Portal (WQP), which compiles geochemistry data from the USGS and other federal agencies.
    2. Discharge data from WoKaS, a world wide spring discharge data set (Olarinoye et al., 2020).
    3. Regional karst data from selected US state agencies.

    Several base maps are included in the links. The US carbonate map describes and categorizes carbonates (e.g., depth from surface, overlying geology/ice, climate). The carbonate springs map categorizes springs as being urban, specifically within 1000 ft of a road, or rural. The basis for this categorization was that the heat island effect defines urban as within a 1000 ft of a road. There are other methods for defining urban versus rural to consider. Map links and details of the information they contain are listed below.

    Map set 1: The WQP map provides three mapping options separated by the parameters available at each spring site. These maps summarize discrete water quality samples, but not data logger availability. Information at each spring provides links for where users can explore further data.

    Option 1: WQP data with urban and rural springs labeled, with highlight of springs with or without NWIS data https://www.arcgis.com/home/item.html?id=2ce914ec01f14c20b58146f5d9702d8a

    Options 2: WQP data by major ions and a few other solutes https://www.arcgis.com/home/item.html?id=5a114d2ce24c473ca07ef9625cd834b8

    Option 3:WQP data by various carbon species https://www.arcgis.com/home/item.html?id=ae406f1bdcd14f78881905c5e0915b96

    Map 2: The worldwide carbonate map in the WoKaS data set (citation below) includes a description of carbonate purity and distribution of urban and rural springs, for which discharge data are available: https://www.arcgis.com/apps/mapviewer/index.html?webmap=5ab43fdb2b784acf8bef85b61d0ebcbe.

    Reference: Olarinoye, T., Gleeson, T., Marx, V., Seeger, S., Adinehvand, R., Allocca, V., Andreo, B., Apaéstegui, J., Apolit, C., Arfib, B. and Auler, A., 2020. Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater. Scientific Data, 7(1), pp.1-9.

    Map 3: Karst and spring data from selected states: This map includes sites that members of the RCN have suggested to our group.

    https://uageos.maps.arcgis.com/apps/mapviewer/index.html?webmap=28ed22a14bb749e2b22ece82bf8a8177

    This data set is incomplete (as of October 13, 2022 it includes Florida and Missouri). We are looking for more information. You can share data links to additional data by typing them into the hydroshare page created for our group. Then new sites will periodically be added to the map: https://www.hydroshare.org/resource/0cf10e9808fa4c5b9e6a7852323e6b11/

    Acknowledgements: These maps were created by Michael Jones, University of Arkansas and Shishir Sarker, University of Kentucky with help from Laura Toran and Francesco Navarro, Temple University.

    TIPS FOR NAVIGATING THE MAPS ARE IN THE POWERPOINT DOCUMENT IN THE FILE UPLOAD SECTION BELOW.

  9. a

    53 11 Cronk Powerpoint

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 15, 2024
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    Chatham County GIS Portal (2024). 53 11 Cronk Powerpoint [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/aaafcb0e1e594f1e943466670c7d5470
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    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding a request by Sears Design Group, P.A. on behalf of Galloway Ridge, Inc., located off US 15-501 N, Williams Township, for a revision to the existing conditional use permit (CU-PUD for Fearrington Village) for an expansion of services and renovations to existing buildings.

  10. a

    2024-06 SC Charleston - Investments (PPT).png

    • south-carolina-broadband-scors.hub.arcgis.com
    • scdigitaldrive.org
    Updated Aug 29, 2024
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    MichaelBorowski (2024). 2024-06 SC Charleston - Investments (PPT).png [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/datasets/aa660384426641dd9e5870645026ae87
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    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    Charleston
    Description

    Data presented has been aggregated into 2020 US Census Block unit geographies by the South Carolina Broadband Office (SCBBO). The data represents a generalized overview of state-managed broadband investments made from 2021 to 2024 through competitively awarded grant programs administered by the SCBBO. Note, this map is for general reference only, not all locations within a funded census block were necessarily included in a project. Location-specific details regarding any funded area are tracked at a project level. Additional South Carolina broadband information may be found at https://ors.sc.gov/broadband/office/investments/state or www.scdigitaldrive.org. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this map. Submit comments or questions to broadband@ors.sc.gov

  11. f

    Mean site characteristics by inland Pacific Northwest American Viticultural...

    • figshare.com
    xls
    Updated Jun 9, 2023
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    Ian-Huei Yau; Joan R. Davenport; Richard A. Rupp (2023). Mean site characteristics by inland Pacific Northwest American Viticultural Areas sorted by chronological establishment. [Dataset]. http://doi.org/10.1371/journal.pone.0061994.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ian-Huei Yau; Joan R. Davenport; Richard A. Rupp
    License

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

    Description

    Abbreviations: AWC (available water-holding capacity), GDD (growing degree-days), BEDD (biologically effective degree-days), FFD (frost-free days), PPT (growing season precipitation).

  12. a

    3 9 Scott Powerpoint

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 16, 2024
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    Chatham County GIS Portal (2024). 3 9 Scott Powerpoint [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/datasets/3-9-scott-powerpoint
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding a request by Kim and Annette Ringeisen, to rezone property from R-1 Residential to CD-RB Conditional District Regional Business, on Parcel No. 63764, located at 3215 Mt. Gilead Church Rd., approximately 7.14 acres, Baldwin Township, for a special events venue to host weddings, receptions, anniversaries, reunions, company socials, photography, and other similar events.

  13. a

    7 5 2019 Business Rezonings PowerPoint

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated May 3, 2025
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    Chatham County GIS Portal (2025). 7 5 2019 Business Rezonings PowerPoint [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/datasets/7-5-2019-business-rezonings-powerpoint/about
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    Dataset updated
    May 3, 2025
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding

  14. a

    2024-06 SC Saluda - Investments (PPT).png

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 29, 2024
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    MichaelBorowski (2024). 2024-06 SC Saluda - Investments (PPT).png [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/0a48db2a4a50454ea695ba5bbbf53129
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    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Data presented has been aggregated into 2020 US Census Block unit geographies by the South Carolina Broadband Office (SCBBO). The data represents a generalized overview of state-managed broadband investments made from 2021 to 2024 through competitively awarded grant programs administered by the SCBBO. Note, this map is for general reference only, not all locations within a funded census block were necessarily included in a project. Location-specific details regarding any funded area are tracked at a project level. Additional South Carolina broadband information may be found at https://ors.sc.gov/broadband/office/investments/state or www.scdigitaldrive.org. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this map. Submit comments or questions to broadband@ors.sc.gov

  15. a

    2024-06 SC Lexington – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Lexington – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/datasets/b7b4aad9be9943a8ae01fc13dc8b8168
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    Lexington
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  16. a

    3 7 Shipman Powerpoint

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 16, 2024
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    Chatham County GIS Portal (2024). 3 7 Shipman Powerpoint [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/9619ad989e344f399e6f07ab7983a3ed
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding a request by Kim and Annette Ringeisen, to rezone property from R-1 Residential to CD-RB Conditional District Regional Business, on Parcel No. 63764, located at 3215 Mt. Gilead Church Rd., approximately 7.14 acres, Baldwin Township, for a special events venue to host weddings, receptions, anniversaries, reunions, company socials, photography, and other similar events.

  17. a

    21 25 Ridge Crest Estates PowerPoint

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated May 5, 2025
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    Chatham County GIS Portal (2025). 21 25 Ridge Crest Estates PowerPoint [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/datasets/21-25-ridge-crest-estates-powerpoint
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    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding request by Chad Abbot, P.E. for subdivision First Plat review and approval of Ridgecrest Estates, consisting of 28 lots on 49.41 acres, located off Hamlets Chapel Road, SR-1525, parcels #1798.

  18. a

    2024-06 SC Union – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Union – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/datasets/9b6e19f43041470fa66e1f730e8e6e53
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  19. a

    20 8 Applicant Powerpoint File from Planning Board Meeting

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 16, 2024
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    Chatham County GIS Portal (2024). 20 8 Applicant Powerpoint File from Planning Board Meeting [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/e30c5e649caa46919f8c4e4ec69ac42d
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding public Hearing request by Mark Moldenhauer for a Conditional Use District [CUD] Rezoning from R-1 Residential to CU Light Industrial on Parcel No. 67592, located at 1971 Lystra Rd, on approximately 1 acre of a 5.032 acre tract.

  20. a

    38 6 Portion of Powerpoint provided during the Joint Issues Committee...

    • chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com
    Updated Apr 16, 2024
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    Chatham County GIS Portal (2024). 38 6 Portion of Powerpoint provided during the Joint Issues Committee Meeting 2 16 11 [Dataset]. https://chatham-county-planning-subdivisions-and-rezonings-chathamncgis.hub.arcgis.com/documents/fa947a08ff5e4b70b8f1efd2b53ca485
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Chatham County GIS Portal
    Description

    Attachment regarding a request by Cathleen Rubens to repeal Section 3.4.2 of the Chatham County –Town of Cary Joint Land Use Plan. The section establishes a 400 foot undisturbed buffer adjacent to Corps of Engineers property when public utilities are utilized for a development in the portion of the plan area south of Lewter Shop Road and Martha’s Chapel Road.

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Craig Rasmussen; Matej Durcik (2021). CJCZO -- GIS/Map Data -- EEMT -- Santa Catalina Mountains -- (2010-2010) [Dataset]. https://search.dataone.org/view/sha256%3Af79c5b6ae39494aa0732981635ad3e39b5f731343ea03de995bc59a1c67ceb6b

CJCZO -- GIS/Map Data -- EEMT -- Santa Catalina Mountains -- (2010-2010)

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Dataset updated
Dec 5, 2021
Dataset provided by
Hydroshare
Authors
Craig Rasmussen; Matej Durcik
Time period covered
Jan 1, 2010 - Dec 31, 2010
Area covered
Description

Yearly effective energy and mass transfer (EEMT) (MJ m−2 yr−1) was calculated for the Catalina Mountains by summing the 12 monthly values. Effective energy and mass flux varies seasonally, especially in the desert southwestern United States where contemporary climate includes a bimodal precipitation distribution that concentrates in winter (rain or snow depending on elevation) and summer monsoon periods. This seasonality of EEMT flux into the upper soil surface can be estimated by calculating EEMT on a monthly basis as constrained by solar radiation (Rs), temperature (T), precipitation (PPT), and the vapor pressure deficit (VPD): EEMT = f(Rs,T,PPT,VPD). Here we used a multiple linear regression model to calculate the monthly EEMT that accounts for VPD, PPT, and locally modified T across the terrain surface. These EEMT calculations were made using data from the PRISM Climate Group at Oregon State University (www.prismclimate.org). Climate data are provided at an 800-m spatial resolution for input precipitation and minimum and maximum temperature normals and at a 4000-m spatial resolution for dew-point temperature (Daly et al., 2002). The PRISM climate data, however, do not account for localized variation in EEMT that results from smaller spatial scale changes in slope and aspect as occurs within catchments. To address this issue, these data were then combined with 10-m digital elevation maps to compute the effects of local slope and aspect on incoming solar radiation and hence locally modified temperature (Yang et al., 2007). Monthly average dew-point temperatures were computed using 10 yr of monthly data (2000–2009) and converted to vapor pressure. Precipitation, temperature, and dew-point data were resampled on a 10-m grid using spline interpolation. Monthly solar radiation data (direct and diffuse) were computed using ArcGIS Solar Analyst extension (ESRI, Redlands, CA) and 10-m elevation data (USGS National Elevation Dataset [NED] 1/3 Arc-Second downloaded from the National Map Seamless Server at seamless.usgs.gov). Locally modified temperature was used to compute the saturated vapor pressure, and the local VPD was estimated as the difference between the saturated and actual vapor pressures. The regression model was derived using the ISOHYS climate data set comprised of approximately 30-yr average monthly means for more than 300 weather stations spanning all latitudes and longitudes (IAEA).

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