This application was created to support the Mapping Existing Vegetation on Cordova Ranger District Vegetation Story Map. Dominance type, tree canopy cover, tall shrub canopy cover, and tree size maps were developed for Cordova Ranger District. The Cordova Ranger District (including other federal, state, native, and private land inholdings) was mapped through a partnership between the Geospatial Technology and Applications Center (GTAC) and the Chugach National Forest. The Chugach National Forest and their partners prepared the AOI classification system, identified the desired map units (map classes) and provided general project management. GTAC provided project support and expertise in vegetation mapping. A combination of reference data was used to inform the classification models that output the final maps. Federal and Private field personnel collected plot data on the ground. Classification models were used to characterize modeling units (mapping polygons) with the following vegetation attributes: 1) dominance type; 2) tree canopy cover; 3) tree size. The minimum map feature depicted on the map is 0.25 acres. All map products were designed according to the Forest Service mid-level vegetation mapping standards in order to be stored in the Forest GIS and National databases. This map product was generated primarily using data acquired prior to or in 2021. The field data used as reference information for this mapping project was primarily collected in the summer of 2021. Therefore, the final map can be considered indicative of the existing vegetation conditions found on the Cordova Ranger District in 2021.

The dataset contains metadata records for 50,600 maps from the Sanborn Fire Insurance Maps collection and their corresponding 440,048 JPEG images. The Sanborn collection at Library of Congress includes over fifty thousand editions of fire insurance maps comprising almost seven hundred thousand individual sheets. The Library of Congress holdings represent the largest extant collection of maps produced by the Sanborn Map Company.

This application was created to support the Mapping Existing Vegetation on Cordova Ranger District Vegetation Story Map. Dominance type, tree canopy cover, tall shrub canopy cover, and tree size maps were developed for Cordova Ranger District. The Cordova Ranger District (including other federal, state, native, and private land inholdings) was mapped through a partnership between the Geospatial Technology and Applications Center (GTAC) and the Chugach National Forest. The Chugach National Forest and their partners prepared the AOI classification system, identified the desired map units (map classes) and provided general project management. GTAC provided project support and expertise in vegetation mapping. A combination of reference data was used to inform the classification models that output the final maps. Federal and Private field personnel collected plot data on the ground. Classification models were used to characterize modeling units (mapping polygons) with the following vegetation attributes: 1) dominance type; 2) tree canopy cover; 3) tree size. The minimum map feature depicted on the map is 0.25 acres. All map products were designed according to the Forest Service mid-level vegetation mapping standards in order to be stored in the Forest GIS and National databases. This map product was generated primarily using data acquired prior to or in 2021. The field data used as reference information for this mapping project was primarily collected in the summer of 2021. Therefore, the final map can be considered indicative of the existing vegetation conditions found on the Cordova Ranger District in 2021.

These Soil Mapping Data Packages include 1. a Soil Map dataset which includes the equivalents to Soil Project Boundaries, Soil Survey Spatial View mapping polygons with attributes from the Soil Name and Layer Files, plus + A Soil Site dataset which includes soil pit site information and detailed soil pit descriptions and any associated lab analyses, and + The Soil Data Dictionary which documents the fields and allowable codes within the data. The Soil Map geodatabase contains the 'best available' data ranging from 1:20,000 scale to 1:250,000 scale with overlapping data removed. The choice of the datasets that remain is based on connectivity to the soil attributes (soil name and layer files), map scale and survey date. (Note: the BC Soil Landscapes of Canada (BCSLC) 1:1,000,000 data has not been included in the Soil_Map or SIFT, but is available from: CANSIS. (A complete soils data package with overlapping soil survey mapping and BCSLC is available on request. Note that the soil survey data with attributes can also be viewed interactively in the [Soil Information Finder Tool](The Soil Map dataset is also available for interactive map viewing or as KMZs from the Soil Information Finder Tool website.

Web maps are available for the following nine Kansas federal reservoirs considered for study in this project:Cheney ReservoirClinton LakeEl Dorado LakeHillsdale LakeMarion ReservoirMelvern LakeMilford LakePerry LakeTuttle Creek Lake

This map is one of a series of soil landscape maps that are intended for all of eastern and central NSW, based on standard 1:100,000 or 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the Blackville area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to Australian Soil Classification and Great Soil Group systems. Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment and Hydrogeological landscapes of NSW. Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Banks RG, 1998, Soil Landscapes of the Blackville 1:100,000 Sheet map and report, NSW Department of Land and Water Conservation, Sydney.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Saratoga National Historical Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

This package contains a project specific geodatabase and map (.mxd) for Level I Master Plan projects. For directions on using this file, see the GIS Standards Technical Memorandum on the Standards Page.

The vector, raster and service layers contained within the map package depict vegetation information across the Kenai Peninsula. The map design was driven by requirements outlined by the Alaska Region, the Chugach National Forest, and their partners. The final vegetation attributes conformed to the mid-level mapping standards referenced in the Existing Vegetation Classification, Mapping, and Inventory Technical Guide (Nelson et al., 2015).

This map includes three-dimensional models that show the distribution of the Quaternary sand and gravel deposits that are potential aquifers in Dakota County, Minnesota. Geologists interpreted the three-dimensional models and related sand and gravel deposits to the glacial events that formed them. Although the models and interpretations are based on the best available data, they are unavoidably incomplete due to a lack of data in some areas.

Map by: William Hsu Data source: Precinct Voting Data 2012 provided by Fundamentals of GIS Coursera Course through UC Davis. Date: March 13, 2016

This map layer was created by using the Spatial Join Analysis with the Intersect method. The total votes and prop 37 yes votes were aggregated using summation.

These are the main layers that were used in the mapping and analysis for the Santa Monica Mountains Local Coastal Plan, which was adopted by the Board of Supervisors on August 26, 2014, and certified by the California Coastal Commission on October 10, 2014. Below are some links to important documents and web mapping applications, as well as a link to the actual GIS data:

Plan Website – This has links to the actual plan, maps, and a link to our online web mapping application known as SMMLCP-NET. Click here for website. Online Web Mapping Application – This is the online web mapping application that shows all the layers associated with the plan. These are the same layers that are available for download below. Click here for the web mapping application. GIS Layers – This is a link to the GIS layers in the form of an ArcGIS Map Package, click here (LINK TO FOLLOW SOON) for ArcGIS Map Package (version 10.3). Also, included are layers in shapefile format. Those are included below.

Below is a list of the GIS Layers provided (shapefile format):

Recreation (Zipped - 5 MB - click here)

Coastal Zone Campground Trails (2012 National Park Service) Backbone Trail Class III Bike Route – Existing Class III Bike Route – Proposed

Scenic Resources (Zipped - 3 MB - click here)

Significant Ridgeline State-Designated Scenic Highway State-Designated Scenic Highway 200-foot buffer Scenic Route Scenic Route 200-foot buffer Scenic Element

Biological Resources (Zipped - 45 MB - click here)

National Hydrography Dataset – Streams H2 Habitat (High Scrutiny) H1 Habitat H1 Habitat 100-foot buffer H1 Habitat Quiet Zone H2 Habitat H3 Habitat

Hazards (Zipped - 8 MB - click here)

FEMA Flood Zone (100-year flood plain) Liquefaction Zone (Earthquake-Induced Liquefaction Potential) Landslide Area (Earthquake-Induced Landslide Potential) Fire Hazard and Responsibility Area

Zoning and Land Use (Zipped - 13 MB - click here)

Malibu LCP – LUP (1986) Malibu LCP – Zoning (1986) Land Use Policy Zoning

Other Layers (Zipped - 38 MB - click here)

Coastal Commission Appeal Jurisdiction Community Names Santa Monica Mountains (SMM) Coastal Zone Boundary Pepperdine University Long Range Development Plan (LRDP) Rural Village

Contact the L.A. County Dept. of Regional Planning's GIS Section if you have questions. Send to our email.

For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcMap containing three-tiered geomorphological data and geographical datasets such as rivers and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

These Soil Mapping Data Packages include 1. a Soil Map dataset which includes the equivalents to Soil Project Boundaries, Soil Survey Spatial View mapping polygons with attributes from the Soil Name and Layer Files, plus + A Soil Site dataset which includes soil pit site information and detailed soil pit descriptions and any associated lab analyses, and + The Soil Data Dictionary which documents the fields and allowable codes within the data. The Soil Map geodatabase contains the 'best available' data ranging from 1:20,000 scale to 1:250,000 scale with overlapping data removed. The choice of the datasets that remain is based on connectivity to the soil attributes (soil name and layer files), map scale and survey date. (Note: the BC Soil Landscapes of Canada (BCSLC) 1:1,000,000 data has not been included in the Soil_Map or SIFT, but is available from: CANSIS. (A complete soils data package with overlapping soil survey mapping and BCSLC is available on request. Note that the soil survey data with attributes can also be viewed interactively in the [Soil Information Finder Tool](The Soil Map dataset is also available for interactive map viewing or as KMZs from the Soil Information Finder Tool website.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Canaveral National Seashore. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

This CNIG data standard concerns communal map documents (CCs). This data standard provides a technical framework describing in detail how to dematerialise these town planning documents in a spatial database that can be used by a GIS tool and interoperable. This standard of data covers both the graphical plans of sectors and the information overlaying them. This CNIG data standard was developed on the basis of the specifications for the dematerialisation of planning documents created in 2012 by the CNIG, itself based on the consolidated version of the urban planning code dated 16 March 2012. The recommendations of these two documents are consistent even if their purpose is not the same. The CNIG data standard provides definitions and a structure for organising and storing spatial data from communal maps in an infrastructure, while the CNIG specifications are used to frame the digitisation of these data. The ‘Data Structure’ section presented in this CNIG standard provides additional recommendations for the storage of data files. These are specific choices for the common data infrastructure of the ministries responsible for agriculture and sustainable development, which do not apply outside their context.

This COVADIS data standard concerns communal map documents (CCs). This data standard provides a technical framework describing in detail how to dematerialise these town planning documents in a spatial database that can be used by a GIS tool and interoperable. This standard of data covers both the graphical plans of sectors and the information overlaying them. This standard of COVADIS data was developed on the basis of the specifications for the dematerialisation of planning documents created in 2012 by the CNIG, itself based on the consolidated version of the urban planning code dated 16 March 2012. The recommendations of these two documents are consistent even if their purpose is not the same. The COVADIS data standard provides definitions and a structure for organising and storing spatial data from communal maps in an infrastructure, while the CNIG specifications are used to frame the digitisation of these data. Part C ‘Data Structure’ presented in this COVADIS standard provides additional recommendations for the storage of data files. These are specific choices for the common data infrastructure of the ministries responsible for agriculture and sustainable development, which do not apply outside their context.

This web map is utilized by Richmond National Battlefield Park"s (RICH) and Petersburg National Battlefield (PETE) staff, stakeholders, researchers, and interested parties. This web map contains georeferenced images digitized by the National Archives; these images are high-resolution scans of the original 19th century military maps produced by Nathaniel Michler (1827-1881) and his team of mapmakers and engineers. RICH park units encompassed in these maps include Beaver Dam Creek, Chickahominy Bluff, Chimborazo Hospital, Cold Harbor, Drewry"s Bluff, Fort Harrison, Gaines" Mill, Glendale, Malvern Hill, and Parker"s Battery; these units span across Hanover, Henrico, and Chesterfield Counties, Virginia. These maps were georeferenced in ArcGIS Pro and the map package was exported to NPS Enterprise (GIS Portal). The data herein is maintained in the "Michler Maps: Richmond & Petersburg" AGOL User Group; this data is current as of June 2024. The corresponding NPS DataStore on Integrated Resource Management Applications (IRMA) reference is Michler Maps: Richmond-Petersburg, VA. Michler Maps: Military Maps of South - Eastern Viriginahttps://catalog.archives.gov/id/221160662 Individual Map Layers Included in this Web Map:01_Hatcher"s Run, Vaughan Road.jpg - https://catalog.archives.gov/id/22116066402_Jerusalem Plank Road South.jpg -https://catalog.archives.gov/id/22116066603_Boydton Plank Road/Fort Fisher.jpg - https://catalog.archives.gov/id/22116066804_Fort Sedgwick to Fort Wadsworth.jpg - https://catalog.archives.gov/id/221160670 05_Appomattox River West/Matoax.jpg - https://catalog.archives.gov/id/221160672 06_Petersburg.jpg - https://catalog.archives.gov/id/221160674 07_Swift Creek.jpg - https://catalog.archives.gov/id/221160676 08_Appomattox River North/Fort Clifton.jpg - https://catalog.archives.gov/id/221160678 09_Richmond & Petersburg R&R (Unfinished).jpg - https://catalog.archives.gov/id/221160680 10_Point of Rocks.jpg - https://catalog.archives.gov/id/221160682 11_Howlett Line/Bermuda Hundred.jpg - https://catalog.archives.gov/id/221160684 12_Bermuda Hundred/Curles" Neck.jpg - https://catalog.archives.gov/id/221160686 13_Chesterfield Court House.jpg - https://catalog.archives.gov/id/221160688 14_Drewry"s, Ft. Harrison, Ft. Brady.jpg - https://catalog.archives.gov/id/221160690 15_Malvern Hill.jpg - https://catalog.archives.gov/id/221160692 16_James River (South of Richmond).jpg - https://catalog.archives.gov/id/221160694 17_Fort Gilmer.jpg - https://catalog.archives.gov/id/221160696 18_White Oak Swamp/Glendale.jpg - https://catalog.archives.gov/id/221160698 19_Richmond & Manchester.jpg - https://catalog.archives.gov/id/221160700 20_Seven Pines/Fair Oaks.jpg - https://catalog.archives.gov/id/221160702 21_Meadow Station/Bottom"s Bridge.jpg - https://catalog.archives.gov/id/221160704 22_Richmond - West.jpg - https://catalog.archives.gov/id/221160706 23_Richmond - North.jpg - https://catalog.archives.gov/id/221160708 24_Cold Harbor - South.jpg - https://catalog.archives.gov/id/221160710 25_Southeast of Cold Harbor_NARA.jpg - https://catalog.archives.gov/id/221160712 26_Staples" Mill/Yellow Tavern.jpg - https://catalog.archives.gov/id/221160714 27_Mechanicsville/Beaver Dam Creek.jpg - https://catalog.archives.gov/id/221160716 28_Cold Harbor - North.jpg - https://catalog.archives.gov/id/221160718

Although species range may be obtained using expert maps or modeling methods, expert data is often species-limited and statistical models need more technical expertise as well as many species observations. When unavailable, such information may be extracted from the Global Biodiversity Information facility (GBIF), the largest public data repository inventorying georeferenced species observations worldwide. However, retrieving GBIF records at large scale may be tedious if users are unaware of specific tools and functions that need to be employed. Here we present gbif.range, an R library that contains automated methods to generate species range maps from scratch using in-house ecoregions shapefiles and an easy-to-use GBIF download wrapper. Finally, this library also offers a set of additional very useful parameters and functions for large GBIF datasets (generate doi, extract GBIF taxonomy, records filtering...). gbif.range R project

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Assateague Island National Seashore. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.