GIS Day 2022 Web Editor

This map is public but the operational layer (Big Game Reporting Stations) is part of a secure feature service. Please contact the ANR GIS Team for editing access.Ryan (ryan.knox@vermont.gov)

Learn how to add points, lines and polygons within a sketch layer in the ArcGIS Online Map Viewer.

Files for Lab 4 Creating and Editing Shapefiles in UWSP's WATR 391/591 course

The Address Point Editor Tool is a custom Esri Web AppBuilder for ArcGIS (Developer Edition) application for address point data. This tool is intended to be hosted by counties and other organizations that want to facilitate the creation and maintenance of authoritative data for addresses. The application is available to directly add to Web AppBuilder and as the source code to be extended. Please refer to the Address Point Editor Tool User Guide or the Configuration Guide for more details.

A STR-GIS developed Web-map application that wille the ROW Specialist Area Administration to maintain, staff's attribute information in the STR-GIS database in real-time. AD GroupsSTRGR_GIS_AdministratorsSTRGR_ROW_Spclst_AdminArea_EDIT

The Minnesota Geospatial Commons (MGC) Resource Editor (current version: 2.03) is an ArcGIS 10.2 Add-In which assists data publishers with preparing their data resources for inclusion in the Minnesota Geospatial Commons. Online documentation is available here: https://gisdata.mn.gov/content/?q=help/mgc_resource_editor

Also included in this resource is the Data Resource Validation Toolbar (current version 2.4.2), another Add-In that allows validation of a data resource before you attempt to publish it to the Commons. The documentation for this tool is available here: https://gisdata.mn.gov/content/?q=help/validator_tool_addin

Parcel editing involves working with land parcel boundaries and land records information. Other data, such as utility features, may also be related to your land records. When editing parcels, you are working with point, line, and polygon features. These features represent the coordinates of the parcel (points), the parcel boundary (lines), and the parcel feature (polygon).The location of many utilities such as roads, water, and electrical networks are often dependent on the parcel boundary. If parcel boundaries are updated, dependent utilities should also be updated.The parcel editing environment in ArcGIS Desktop 10 provides an intelligent editing environment that is designed specifically for working with land parcels and their related survey information.After completing this course, you will be able to:Define a parcel fabric.Describe the benefits of using a parcel fabric.Apply the steps of the parcel editing workflow.Use a parcel fabric to manage land records data.Create new parcels using the Parcel Editor.

Background

The soil map of Israel was first published by Rabinovitch et al. in 1969. It was a massive work that took place 5 years. The map was published in a printed format at a 1:250,000 scale. Until now, a digital version of this map was not available. Accordingly, we carefully digitized the soil map of Rabinovitch and provided the map herein.

Materials and Methods

This dataset contains georeferenced raster layers of the soil map (1:250,000) of Israel published by Ravikovitch (1969). The georectification was done using control points located on the borders of Israel. With this information, it was possible to create polygons over the georeferenced raster layers. This was done using the editing tool of ArcGIS 10.3. For each polygon we assigned the same classification provided by Ravikovitch (1969). Once all the polygons were created, topological corrections were applied using the method of Longley et al., (2015) in order to rectify possible inaccuracies in the digitation. To this end, we used the topology tool of ArcGIS 10.3 applying two rules:

• polygons must not have gaps
• polygons must not overlap.

Following these corrections, the polygons were re-evaluated and further edited where necessary to improve accuracy.

This publication contains:

• the northern and the southern sections of the Israel map of soils after the georectification in geotif format
• the final product of the cartographic edition of the Israel map of soils in shapefile format

Please, if you are going to make use of this map, refer to this work:

Francos, N., Karasik, E., Myers, M., Ben-Dor, E., 2025. Soil type classification using Landsat 8: a comparison between the USDA and a local system in Israel. International Soil and Water Conservation Research. https://doi.org/10.1016/j.iswcr.2025.03.001

Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA OED EPD Delineated Assets data products.MDOT SHA OED EPD Delineated Assets consists of polygon geometric features with related tabular information which represent the geographic area & location of delineated Wetland Assets, Stream Assets, Study Areas, and Buffer Zones along roadways throughout the State of Maryland. MDOT SHA OED EPD Delineated Assets are owned & maintained by the MDOT SHA Office of Environmental Design (OED), specifically under the MDOT SHA OED Environmental Programs Division (EPD)For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The mapping component of the BRCA project used a combination of methods to interpret and delineate vegetation and land use polygons. The USGS applied an electronic segmentation method (e-Cognition software) to create preliminary linework on features with high-contrast photo-signatures. Using the preliminary linework as a baseline starting point, the primary photointerpreter drew polygons directly on screen through heads-up digitizing using ArcGIS editing tools. Additionally, trained photointerpreters assisting the primary photointerpreter drew polygons on Mylar overlays covering 1m resolution, 1:12,000-scale, 9 x 9-inch true-color aerial photographs. This process enabled the photointerpreters to view the landscape in stereo in order to identify finer details. The linework drawn on Mylar overlays was then transferred into digital media by heads-up digitizing using ArcGIS software. The park and environs were interpreted and mapped to the same level of detail.

CDFW BIOS GIS Dataset, Contact: VegCAMP Vegetation Classification and Mapping Program, Description: This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

This layer was created as an update the existing San Jose Parks Layer (PRK.TRAILS). The existing layer has been maintained by the City of San Jose Department of Public Works and had not been updated in some time. This layer is a draft as of (05.02.2014) and has not been fully updated or reviewed to assure completeaccuracy of trail lines. Nevertheless, it is an improvement over the existing layer and has had newly developed and existing trail lines adjusted to fit with satellite imagery from the ArcGIS basemap. As much as possible trail lines have been centered to visibly improved pathways in the satellite imagery. Several ramps that provide trail access have also been added.Some attribute data has been updated along with trail changes, but on the whole it still requires comparison with the Master Trail database maintained by Yves Zsutty - Trail Manager, PRNS.

© PRK.TRAILS - Author Unknown - Maintained by San Jose DPW - GIS Team Master Trails Data - Yves Zsutty - Trail Manager, PRNS. yves.zsutty@sanjoseca.gov - 408 292 6416 GIS Updates: David McCormic - PRNS david.mccormic@sanjoseca.gov This layer is a component of Basemap Editing Map.

The Basemap Editing Map has been optimized for editing and can be used for management of City of San Jose Public Works basemap information.

© City of San Jose

The power of GIS lies in the data that you use to build it. You must carefully evaluate your data for each project you work on, because what works in one situation may not be appropriate for another.The easiest and most efficient method for evaluating data is to examine its metadata. When metadata has been created correctly, it can provide the user a wealth of information. Thus, the creation of metadata is very important. In this course, you will learn the basics of how to create complete metadata.After completing this course, you will be able to:Explain the importance of metadata to data management.Use the metadata editing interface to add and update metadata fields.Apply techniques for upgrading metadata and changing styles.

Hosted feature layers used in TCB Adopt-a-Site editing map. These layers replaced the sde layers originally published in 2015 as the ultimate source of truth. Associated Elements:HubHub Site: https://tucson-clean-and-beautiful-cotgis.hub.arcgis.com/Hub Item Details: https://cotgis.maps.arcgis.com/home/item.html?id=e5a76516027f4f718857477f21b23696#overviewOpen to PublicVolunteer Report Map: https://cotgis.maps.arcgis.com/home/item.html?id=8b0cfefce0a04883967353fd64d70a0c#overviewVolunteer Report App: https://cotgis.maps.arcgis.com/home/item.html?id=e01073c557c344328a07544fb82478d2#overviewFeature Layer View: https://cotgis.maps.arcgis.com/home/item.html?id=1103f4e81c2743b795f6e8a7250147ffAdopt-a-Site App: https://cotgis.maps.arcgis.com/home/item.html?id=d40db845579c4b208906ad55358a7e52Adopt-a-Site Map: https://cotgis.maps.arcgis.com/home/item.html?id=7c9855e5a0a542089ac2a66dc4091f4bOpen to Volunteers and TCB StaffSurvey: https://cotgis.maps.arcgis.com/home/item.html?id=b45b263db42d4b6b93f13d9ed60a735e#overviewOpen to TCB StaffEditing Map: https://cotgis.maps.arcgis.com/home/item.html?id=fef204a9647946ae893ce5ac5b780ec1#overviewEditing Layers: https://cotgis.maps.arcgis.com/home/item.html?id=7a20673361904073bc7ee204252bb24e

Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on August 17-21, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

Separated and combined sewer gravity mains. Last update date shows the last time each assest was manipulated in any way. Install update source is how the install date was added into GIS. Last editor should show who the last person to manipulate the assest was. Install date gives an estimation of when each asset was actually installed in the ground, not put into GIS. Update source is the accuracy of each asset in our GIS system, GPS-SURVEY-GRADE is the most accurate form of data we have available

This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification, but is related through a cross-walking table to other standard classifications in use locally or statewide.

A point in which the main is tapped for the purposes of customer service.. Last update date shows the last time each assest was manipulated in any way. Install update source is how the install date was added into GIS. Last editor should show who the last person to manipulate the assest was. Install date gives an estimation of when each asset was actually installed in the ground, not put into GIS. Update source is the accuracy of each asset in our GIS system, GPS-SURVEY-GRADE is the most accurate form of data we have available