Dataset

This dataset was created by neerajbhat98

Contents

This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

The Digital Topographic Map 1:100 000 (DTK100) is a 1:100 000 scale topographic map. The contents of the DTK100 are: Roads, paths, railways, waters, vegetation areas, borders, elevation lines, fonts, etc. The map contents are greatly reduced due to the small scale. The graphics of the DTK100 are based on the signature catalogue SK100 of the AdV. The DTK100 is suitable as a basis for large-scale technical planning (districts, regional planning). The retrievable map section per WMS request is limited to a maximum of 2,000x2,000 pixels. For more information on the DTK100, please visit: http://www.ldbv.bayern.de/produkte/topo/digi.html

Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This web map contains the same layers as the 'Imagery with Labels' basemap that is available in the basemap gallery in the ArcGIS applications but also adds the World Transportation map serviceThe World Transportation map service shows streets, roads and highways and their names. When you zoom in to the highest level of detail the lines disappear and you just see the street names and road numbers.The 'Imagery with Labels' basemap contains the World Imagery map service and the World Boundaries and Places map service, so when you use that basemap you get boundaries and places, but you don't get streets and roads at small scales or street and road labels at large scale. So by adding the World Transportation map service into your map as well you get those too.Want to use this map as the basemap for your own web map? If you have not created your web map yet, simply open this map and then do Save As to save a copy of it as your own map, and then make changes to it like zooming in and adding more data. If you have already created your web map, open it and choose the Imagery With Labels basemap from the Basemap dropdown. Then add the World Transportation service into your map by searching for it. This 'Imagery with Labels and Transportation' web map shows you what this looks like. The World Transportation map service is designed to be drawn underneath the World Boundaries and Places map service, as you can see in this web map.In this web map, we have set the Transportation layer with partial transparency to make the transportation network less prominent relative to the imagery. You can manipulate the level of transparency that you use for the basemap and reference layers in the web maps that you create. You can do this in the layer properties of the layers in the map table of contents.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.Tip: This web map is a useful general purpose map that you can link to from web pages, emails, social media, etc, and embed in your own web page. Just open the map and then choose the Share option. Like with any public map in ArcGIS Online, you don't need to have an ArcGIS Online account in order to share this map by linking or embedding. In addition, by adding extent parameters in the URL you use to link or embed the map, you can take users directly to particular locations. So anyone can immediately take advantage of this map on the web to show any location in the world without even being signed in to ArcGIS Online. See this help topic for more information. For example, here are some links that use extent parameters to open this map at some famous locations. Some of these specify a rectangular extent on the map to zoom to. Others specify a center point and a zoom level to zoom to:Grand Canyon, Arizona, USAGolden Gate, California, USATaj Mahal, Agra, IndiaVatican CityBronze age white horse, Uffington, UKUluru (Ayres Rock), AustraliaMachu Picchu, Cusco, PeruOkavango Delta, Botswana

This vector tile layer is designed to support exporting small volumes of basemap tiles for offline use. The content of this layer is equivalent to World Navigation Map (Dark). This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries featuring a custom dark mode navigation map style. See World Navigation Map (Dark) for more details.Use this MapThis vector tile service supporting this layer will enable you to export a small number of tiles in a single request. This layer is not intended to be used to display live map tiles for use in a web map or web mapping application. To display map tiles, please use World Navigation Map (Dark).Service Information for DevelopersTo export tiles for World Navigation Map (Dark Mode - for Export), you must use the instance of the World_Basemap_Export_v2 service hosted on basemaps.arcgis.com referenced by this layer (see URL in Contents below), which has the Export Tiles operation enabled. This layer is optimized to minimize the size of the download for offline use. Due to this optimization, there are small differences between this layer and the display optimized World_Basemap_v2 service. This layer is intended to support export of basemap tiles for offline use in ArcGIS applications and other applications built with an ArcGIS Runtime SDK.

Recommendations for the suitable contents of the geospatial datasets presenting the distribution of languages including the benefits of each, and our solutions (selected in the case study) concerning the Uralic languages.

Dataset

This dataset was created by James McGuigan

Released under U.S. Government Works

Contents

ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)

**When using the GIS data included in these map packages, please cite all of the following:

Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. http://doi.org/10.1371/journal.pone.0220457

Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. https://doi.org/10.5281/zenodo.2572018

OVERVIEW OF CONTENTS

This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:

Raw DEM and Soils data

Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the National Elevation Dataset)

DEM_Individual_Tiles: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.

DEMs_Merged: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM.

Soils Data (Map services and data available from Natural Resources Conservation Service Web Soil Survey, U.S. Department of Agriculture)

Animas-Dolores_Area_Soils: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).

Cortez_Area_Soils: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).

ArcGIS Map Packages

Goodman_Watershed_Full_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).

Goodman_Watershed_Mesa-Only_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.

Crow_Canyon_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).

Coffey_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).

For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."

LICENSES

Code: MIT year: 2019 Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton

CONTACT

Andrew Gillreath-Brown, PhD Candidate, RPA Department of Anthropology, Washington State University andrew.brown1234@gmail.com – Email andrewgillreathbrown.wordpress.com – Web

Dataset

This dataset was created by Nazmus Sadat013

Released under Apache 2.0

Contents

The Map of the Czech Republic 1:1,000,000 (MČR 1M) relates with the contents of the map of the Czech Republic 1:500,000 and is conceived as a general geographic map. It shows the entire territory of the Czech Republic on a single map sheet. The MČR 1M contains planimetry, altimetry, geographic coordinate grid, map lettering and the map legend. Planimetry consists of settlements, transportation (highways, roads, railways), hydrography (significant water courses and reservoirs), state and regional boundaries, vegetation and land surface (forests). Subject of the altimetry are elevation points. Map lettering and marginal notes consist of standard geographic names, map name and its scale with imprint data and the graphic scale, textual part of the legend geographic coordinates on the frame edges. The subjects of the map contents are coherently displayed also on the adjacent areas of neighbour states.

The ArcGIS Online US Geological Survey (USGS) topographic map collection now contains over 177,000 historical quadrangle maps dating from 1882 to 2006. The USGS Historical Topographic Map Explorer app brings these maps to life through an interface that guides users through the steps for exploring the map collection:

Finding the maps of interest is simple. Users can see a footprint of the map in the map view before they decide to add it to the display, and thumbnails of the maps are shown in pop-ups on the timeline. The timeline also helps users find maps because they can zoom and pan, and maps at select scales can be turned on or off by using the legend boxes to the left of the timeline. Once maps have been added to the display, users can reorder them by dragging them. Users can also download maps as zipped GeoTIFF images. Users can also share the current state of the app through a hyperlink or social media. This ArcWatch article guides you through each of these steps: https://www.esri.com/esri-news/arcwatch/1014/envisioning-the-past.

Dataset

This dataset was created by UOM_190453A

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First edition was 1875. The maps here are identical to our 1878 Gray's Atlas of the United States, except that this copy has 17 large scale maps of Virginia Cities in the rear with a "Professional Directory of Patrons. Virginia." The 1878 U.S. Atlas has a large map of New England in the rear and a directory of patrons for Rhode Island and Massachusetts. It is a mystery why Gray used two different titles for essentially the same atlas. The source of the Virginia city maps is interesting - about half state under the title that they are from "Special Surveys" by Jacob and George Chace, Topographical Engineers. The other half do not list the Chaces. There is no record of these maps in Phillips, either as an atlas or separates. Perhaps they were sold as separates or pocket maps. Several sheets intentionally left missing; not listed in Table of Contents. Maps are in full color typically differentiating counties or states.

Dataset

This dataset was created by Fabio.vaz

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Dataset

This dataset was created by Pedpro

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Dataset

This dataset was created by Bill Freeman - PureSkill.gg

Released under Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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Dataset

This dataset was created by Sautkin

Released under Apache 2.0

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Cadastral map is a binding state map series of large scale. Its contents are points of minor horizontal geodetic control, planimetry and map lettering. It can have the form of digital map, analogue map or digitized map. More: Cadastral Notice No. 26/2007 Sb. as amended.

Dataset

This dataset was created by dt

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Dataset

This dataset was created by Adam

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