7 datasets found
  1. v

    Copy and Paste Raster and Feature Symbology Python Toolbox for Arcmap 10.1,...

    • anrgeodata.vermont.gov
    Updated Oct 28, 2013
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    U.S. Geological Survey (2013). Copy and Paste Raster and Feature Symbology Python Toolbox for Arcmap 10.1, 10.2 [Dataset]. https://anrgeodata.vermont.gov/content/b282ba43695c401aa75d32336eaca82f
    Explore at:
    Dataset updated
    Oct 28, 2013
    Dataset authored and provided by
    U.S. Geological Survey
    Description

    The toolbox simply allows one to copy the symbology from one layer opened in ArcMap and paste (apply) it to one or more other layers loaded in the table of contents (TOC). Works on rasters (images) and feature layers. For example, it is good for defining a single image with the outside collar (usually 0) to transparent and then applying this setting to many images.This is essentially an alternative to running the built-in ArcMap tool "Apply Symbology From Layer" in batch. http://resources.arcgis.com/en/help/main/10.1/index.html#//00170000006n000000Tip: There is a commented portion of code which can help make many *.lyr files from one input layer. The output path is hardwired to c:\temp but it can be update.Tip: For setting the same color-scale for many images (e.g. DEMs), then I recommend loading them into a Mosaic Datatype. This allows all images in the Mosaic to have one symbology mapping. See: Raster Riser for a Mosaic tutorial: http://astrogeology.usgs.gov/facilities/mrctr/gis-toolsOriginal version 0.1, June 30, 2013. Version 0.2, Nov 14, 2014. Added check for groups or layers with spaces which is not currently supported. The recommendation is to just replace spaces with underscores. Works with ArcMap 10.2 and 10.2.2.Please report any issues.

  2. The result of spatial-temporal analysis of new detected leprosy cases in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 9, 2023
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    Xiaohua Chen; Tie-Jun Shui (2023). The result of spatial-temporal analysis of new detected leprosy cases in Yunnan, China, 2011–2020. [Dataset]. http://doi.org/10.1371/journal.pntd.0009783.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiaohua Chen; Tie-Jun Shui
    License

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

    Area covered
    Yunnan, China
    Description

    The result of spatial-temporal analysis of new detected leprosy cases in Yunnan, China, 2011–2020.

  3. a

    Rule 40E-10 Water Reservation Conveyance Systems

    • geo-sfwmd.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 15, 2024
    + more versions
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    South Florida Water Management District (2024). Rule 40E-10 Water Reservation Conveyance Systems [Dataset]. https://geo-sfwmd.hub.arcgis.com/datasets/rule-40e-10-water-reservation-conveyance-systems
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    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    South Florida Water Management Districthttps://www.sfwmd.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This polygon feature class describes the extent and location of boundaries referenced in the Water Reservation Chapter 40E-10 Florida Administrative Code (F.A.C.).Water reservations define the quantity, location and timing of waters reserved from allocation for the protection of fish and wildlife pursuant to Section 373,223(4), F.S. for specified water bodies. Water reservations are implemented in the water use program pursuant to Chapter 40E-2, F.A.C. Effective July 16, 2014.

  4. The result of global spatial autocorrelation analysis of new detected...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
    + more versions
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    Xiaohua Chen; Tie-Jun Shui (2023). The result of global spatial autocorrelation analysis of new detected leprosy cases in Yunnan, China 2011–2020. [Dataset]. http://doi.org/10.1371/journal.pntd.0009783.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiaohua Chen; Tie-Jun Shui
    License

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

    Area covered
    Yunnan, China
    Description

    The result of global spatial autocorrelation analysis of new detected leprosy cases in Yunnan, China 2011–2020.

  5. a

    GIS – Great Lakes Sediment Budget – Technical Methodology – Buffline...

    • glri-usace.hub.arcgis.com
    Updated Sep 28, 2021
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    usace_sam_rd3 (2021). GIS – Great Lakes Sediment Budget – Technical Methodology – Buffline Digitization [Dataset]. https://glri-usace.hub.arcgis.com/documents/e16113ca62f244559475bacbf4bef03c
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    Dataset updated
    Sep 28, 2021
    Dataset authored and provided by
    usace_sam_rd3
    Area covered
    The Great Lakes
    Description

    GIS – Great Lakes Sediment Budget – Technical Methodology – Buffline Digitization Madeleine Dewey EIT1 , Cedric Wrobel EIT1 1United States Army Corps of Engineers Great Lakes and Ohio River Division, Buffalo District Department of Coastal and Geotechnical Design Editor and Senior Reviewer: Weston Cross PG1 Published: September 2021 Abstract: This document is intended for use as a reference guide to complete bluffline digitization work for the Great Lakes Sediment Budget, a project of the Great Lakes Restoration Initiative. Digitization work consists of manually drawing polylines along the lakeshore to delineate where the bluffline, or more broadly, the line of significance, exists. This reference can be used for both historic, and contemporary blufflines. In addition, this guide outlines what datasets, ESRI ArcGIS tools, and strategies should be employed. The manual for ESRI ArcMap 10.7, the version of ArcGIS used to create this guide, can be found at: https://support.esri.com/en/products/desktop/arcgis‐desktop/arcmap/10‐7‐1

  6. Ogumaniha Community-Based Voluntary Counseling and Testing Campaigns: Ile,...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 7, 2023
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    Troy D. Moon; Ezequiel B. Ossemane; Ann F. Green; Elisée Ndatimana; Eurico José; Charlotte P. Buehler; C. William Wester; Sten H. Vermund; Omo Olupona (2023). Ogumaniha Community-Based Voluntary Counseling and Testing Campaigns: Ile, Maganja da Costa and Chinde Districts, October 2011–September 2012. [Dataset]. http://doi.org/10.1371/journal.pone.0109653.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Troy D. Moon; Ezequiel B. Ossemane; Ann F. Green; Elisée Ndatimana; Eurico José; Charlotte P. Buehler; C. William Wester; Sten H. Vermund; Omo Olupona
    License

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

    Area covered
    Maganja da Costa
    Description

    District Prevalence Estimates are based on the percent of pregnant women testing HIV seropositive at antenatal care clinics (routine PMTCT data) from the districts main health facility for the period October 2011–September 2012.*Zambézia Province HIV prevalence as reported by INSIDA, 200913.Ogumaniha Community-Based Voluntary Counseling and Testing Campaigns: Ile, Maganja da Costa and Chinde Districts, October 2011–September 2012.

  7. a

    GSI MX Guide Spanish 3 10 23

    • cotgis.hub.arcgis.com
    Updated Mar 14, 2023
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    City of Tucson (2023). GSI MX Guide Spanish 3 10 23 [Dataset]. https://cotgis.hub.arcgis.com/documents/2fde5b1076d24f699a104d057d0caf52
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    Dataset updated
    Mar 14, 2023
    Dataset authored and provided by
    City of Tucson
    Description

    Storm to Shade's Maintenance pocket guide Spanish translation

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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U.S. Geological Survey (2013). Copy and Paste Raster and Feature Symbology Python Toolbox for Arcmap 10.1, 10.2 [Dataset]. https://anrgeodata.vermont.gov/content/b282ba43695c401aa75d32336eaca82f

Copy and Paste Raster and Feature Symbology Python Toolbox for Arcmap 10.1, 10.2

Explore at:
Dataset updated
Oct 28, 2013
Dataset authored and provided by
U.S. Geological Survey
Description

The toolbox simply allows one to copy the symbology from one layer opened in ArcMap and paste (apply) it to one or more other layers loaded in the table of contents (TOC). Works on rasters (images) and feature layers. For example, it is good for defining a single image with the outside collar (usually 0) to transparent and then applying this setting to many images.This is essentially an alternative to running the built-in ArcMap tool "Apply Symbology From Layer" in batch. http://resources.arcgis.com/en/help/main/10.1/index.html#//00170000006n000000Tip: There is a commented portion of code which can help make many *.lyr files from one input layer. The output path is hardwired to c:\temp but it can be update.Tip: For setting the same color-scale for many images (e.g. DEMs), then I recommend loading them into a Mosaic Datatype. This allows all images in the Mosaic to have one symbology mapping. See: Raster Riser for a Mosaic tutorial: http://astrogeology.usgs.gov/facilities/mrctr/gis-toolsOriginal version 0.1, June 30, 2013. Version 0.2, Nov 14, 2014. Added check for groups or layers with spaces which is not currently supported. The recommendation is to just replace spaces with underscores. Works with ArcMap 10.2 and 10.2.2.Please report any issues.

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