Filter is a configurable app template that displays a map with an interactive filtered view of one or more feature layers. The application displays prompts and hints for attribute filter values which are used to locate specific features.Use CasesFilter displays an interactive dialog box for exploring the distribution of a single attribute or the relationship between different attributes. This is a good choice when you want to understand the distribution of different types of features within a layer, or create an experience where you can gain deeper insight into how the interaction of different variables affect the resulting map content.Configurable OptionsFilter can present a web map and be configured with the following options:Choose the web map used in the application.Provide a title and color theme. The default title is the web map name.Configure the ability for feature and location search.Define the filter experince and provide text to encourage user exploration of data by displaying additional values to choose as the filter text.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsRequires at least one layer with an interactive filter. See Apply Filters help topic for more details.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

Low with neighborhood-nature, agriculture and water (>0.5ha). The layer shows the open spaces that are natural, agricultural or water and also have a recreational use. We mean anything larger than 0.5 ha (or 5,000 m2) (smaller does not exist): - agricultural or agricultural greenery, unless completely inaccessible - natural greenery, unless completely inaccessible: e.g. Hobokense Polder, Wolvenberg - water: For example, Galgenweel, Burchtse Weel, Docks, Scheldt Recreational shared use means that this space can be experienced, via accessible paths in or along the area. Only passive forms of recreation are allowed on these accessible paths. This data layer is updated annually in January. (see also geodata portal - https://geoportaal.antwerpen.be/portal/home/search.html?q=experience green , open geodata portal - http://portaal-stadantwerpen.opendata.arcgis.com/datasets?q=experience green , quantified in city in figures - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=1afba9b7-ae0e-442b-9a49-d82c97f7cf0f )

Low with district -nature, agriculture and water (> 5 ha). The layer shows the open spaces that are natural, agricultural or water and also have a recreational use. We mean anything larger than 5 ha (or 5 0 .000 m2) (smaller does not exist): - agricultural or agricultural greenery, unless completely inaccessible - natural greenery, unless completely inaccessible: e.g. Hobokense Polder, Wolvenberg - water: For example, Galgenweel, Burchtse Weel, Docks, Scheldt Recreational shared use means that this space can be experienced, via accessible paths in or along the area. Only passive forms of recreation are allowed on these accessible paths. This data layer is updated annually in January. (see also geodata portal - https://geoportaal.antwerpen.be/portal/home/search.html?q=experience green , open geodata portal - http://portaal-stadantwerpen.opendata.arcgis.com/datasets?q=experience green , quantified in city in figures - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=f16b4824-78eb-44c9-ab5b-929f2f4c0006 )

Use this app to explore and visualise voting centre data from the Australian Electoral Commission (AEC). About the data in this appVoting centre data held by the Australian Electoral Commission (AEC) for in-person and pre-polling voting. For more information, see Pre-poll Voting Centres and Static Voting Centres.Key featuresInteractive map: Zoom and pan in the interactive map to explore voting centre data. Layer control: Toggle between various map layers to customise your viewing experience. Add data: Add data to create your own custom map. Export: Export map views and native title data in various formats for your research. CurrencyModification frequency: As needed, refer to the Pre-poll Voting Centres and Static Voting Centres for details.ContactDigital Atlas of AustraliaChangelogVersion 1.0.0 (2025-05-01) ArcGIS Experience Builder app configured with the following: Voting Centre mapLocation search and other location toolsMap creation tools, such as map base map, add data and map layersLegendDrawing and measure toolsAnalysis tools, such as table and selectPrintHelp

Low with nature, agriculture and water. The layer shows the open spaces that are natural, agricultural or water and also have a recreational use. - agricultural or agricultural greenery, unless completely inaccessible - natural greenery, unless completely inaccessible: e.g. Hobokense Polder, Wolvenberg - water: For example, Galgenweel, Burchtse Weel, Docks, Scheldt Recreational shared use means that this space can be experienced, via accessible paths in or along the area. Only passive forms of recreation are allowed on these accessible paths. This data layer is updated annually in January. (see also geodata portal - https://geoportaal.antwerpen.be/portal/home/search.html?q=experience green , open geodata portal - http://portaal-stadantwerpen.opendata.arcgis.com/datasets?q=experience green , quantified in city in figures - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=0c05effa-be1e-412b-aa22-ddddb6140306a )

Before the advent of satellite imagery, aerial photography captured from planes offered a way to systematically document land information. The Australian Survey Corps and Royal Australian Air Force flew photography to produce topographic maps. Geoscience Australia’s predecessor organisations, such as the Australian Surveying and Land Information Group (AUSLIG), and the Division of National Mapping, also undertook aerial photography campaigns. Through these campaigns, every part of Australia and its external territories was imaged at some point, and often repeatedly. Our collection dates back to the 1920s, with coverage across our diverse country and neighbouring region. Discover historical aerial photos through a user-friendly interface that provides straightforward access to the digitised photos and metadata. Key featuresInteractive map: Zoom and pan in the interactive map to explore historical aerial photos. Photo details: Click on any photo point to obtain details of that photo, as well as a link to the full-resolution scanned frame or lower resolution preview image (if digitised). Flight line details: Click on any flight line to obtains details of that run, including frame numbers captured. User-friendly interface: Designed for users of all levels, this app provides a streamlined and intuitive experience for exploring historical aerial photos. CurrencyModification frequency: Data updated periodically, as more films are digitised.ContactGeoscience Australia, aerialphotography@ga.gov.auChangelogVersion 1.0.0 (25-07-2024) Map configured with the following layers:  Photo centres Flight lines Photo point cluster 4km, 6km, 8km, 10km, 12km, 14km hexagon aggregates. 250k AUSTopo map index 4 Mile military map index 1 Mile military map index ArcGIS Experience Builder app created using the following widgets/windows: Fixed window (splash screen) Point cluster legend Scanned/not scanned photo centre and flight line legend Links to HAP survey and GA aerial photography email address

Fixed window (user guide) Configured with card and column widgets to display six views of instructions with accompanying screenshots

Fixed window (about our historical aerial photo collection)

Configured with card and column widgets to display information about the collection.

Query Widget, configured to search photos

Date search

Digitisation status search (scanned, not scanned or both)

Film type search (B&W, B&W infrared, colour, colour infrared, infrared, unknown)

Film number search

Spatial filter (current map extent, full map extent or drawn polygon/rectangle)

Query Widget, configured to search flight lines

Date search

Digitisation status search (scanned, not scanned or both)

Film number search

Spatial filter (current map extent, full map extent or drawn polygon/rectangle)

Add Data Widget

Configured for users to add data from AGOL, Living Atlas, DAA curated collection, URLs and local drives.

Coordinates Widget

WGS 1984 Web Mercator Auxiliary Sphere

Map Layers Widget

Toggle on/off

Basemap widget displaying the Basemap Gallery

Configured to open on Dark Gray Canvas

Address or place search bar

Configured to use the HAP locator view which only returns relevant places or addresses.

Map Tools is a configurable app template that enables you to display an ArcGIS web map using a variety of tools.Use CasesDisplays a set of commonly used tools in a more traditional toolbar-driven user experience. The app includes the ability to toggle layer visibility, print a map, and view a table of attributes.Configurable OptionsThe template can be configured using the following options:Map:Choose the web map used in your application.Color Scheme: Choose between five color schemes for the application.Show Title: Choose whether to include an application title.Title Text: The application title. The default title is the web map name.Logo: Choose a custom logo for your application.Legend: Display a legend for map layers.Details: Display the web map item description.Print: Enables printing the map at the current extent. It can be configured to include a legend and supports different layout options.Layer List: Enables toggling the visibility of operational layers within the web mapBasemaps: Enables the display of the basemap gallery.Bookmarks: Enables the use of web map bookmarks for navigation.Share: Allows users to share the application with others.Search: Displays the Search box to enable navigation to addresses and places.Search for locations within current extent: Enable toggling of search within the current map extent only.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to create a web appOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

Layer with public greenery and water (without squares, buildings and private greenery), classified according to accessibility (accessible, conditionally accessible and inaccessible) and main classification (agricultural greenery, natural greenery, usable greenery, structural greenery, waiting greenery and water). (zie ook geodata-portaal - https://geoportaal.antwerpen.be/portal/home/search.html?q=groen , open geodata-portaal - http://portaal-stadantwerpen.opendata.arcgis.com/datasets?q=groen , becijferd in stad in cijfers - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=61cc2cf1-c40f-4366-871f-dc36ddb98288 ). This data layer is updated annually in January, provided that the facility is managed and updated annually by the relevant sector/service. Agricultural or agricultural green: green spaces with agricultural function. This can be agriculture, pasture and agricultural roads. - accessible under certain conditions: recreational use (=experience green). Recreational sharing means that this space can be experienced, through accessible paths in or along the area. On these accessible paths only passive forms of recreation are allowed (walking, resting, sitting). - inaccessible: cannot be entered (e.g. fenced, prohibition sign). Naturally green: green spaces with a nature function such as special protection areas (Flemish Ecological Network-VEN, Habitats Directive, Birds Directive) and natural areas managed by Natuurpunt or ANB. - accessible under certain conditions: recreational shared use. e.g. Hobokense Polder, Wolvenberg (=experience green). Recreational sharing means that this space can be experienced, through accessible paths in or along the area. Only passive forms of recreation are allowed on these accessible paths. (walking, resting, sitting). - inaccessible: cannot be entered (e.g. fenced, prohibition sign), for example Fort 7 in Wilrijk and Kuifeend in the harbor. Green for use: green equipped for use: parks, building greenery, hanging greenery, fort greenery, cemeteries (without squares) and finally specific areas such as sports grounds, playgrounds, allotments and dog walking areas. - accessible: all publicly accessible greenery for use without surface restriction: parks, pocket parks, hanging greenery, fort greenery, dog walking area, city forest, play forest, cemetery, green playgrounds, publicly accessible building greenery. - accessible under certain conditions: this is a restriction of public use: only accessible at certain times or for certain groups (e.g. members such as sports clubs, etc.), for example the Zoo, caravan park, sports grounds. Structural green: green spaces with a buffer function (visual buffer, noise buffer or buffer to air quality) along large infrastructures, from motorways to railways, or commercial buildings. Waiting green: grounds awaiting completion (project development, business park, large private domains, etc.). The lands located in the port that are reserved for port development also belong to this classification. Water: water bodies that are not part of other categories, in particular docks, navigable river, water that accounts for more than 30% of greenery, WWTP basin. - accessible under certain conditions: recreational shared use. e.g. Galgenweel, Burchtse Weel, Dokken, Schelde (=experience green). - inaccessible: docks in the harbor, Albertkanaal, Lobroekdok.

This seminar is an applied study of deep learning methods for extracting information from geospatial data, such as aerial imagery, multispectral imagery, digital terrain data, and other digital cartographic representations. We first provide an introduction and conceptualization of artificial neural networks (ANNs). Next, we explore appropriate loss and assessment metrics for different use cases followed by the tensor data model, which is central to applying deep learning methods. Convolutional neural networks (CNNs) are then conceptualized with scene classification use cases. Lastly, we explore semantic segmentation, object detection, and instance segmentation. The primary focus of this course is semantic segmenation for pixel-level classification. The associated GitHub repo provides a series of applied examples. We hope to continue to add examples as methods and technologies further develop. These examples make use of a vareity of datasets (e.g., SAT-6, topoDL, Inria, LandCover.ai, vfillDL, and wvlcDL). Please see the repo for links to the data and associated papers. All examples have associated videos that walk through the process, which are also linked to the repo. A variety of deep learning architectures are explored including UNet, UNet++, DeepLabv3+, and Mask R-CNN. Currenlty, two examples use ArcGIS Pro and require no coding. The remaining five examples require coding and make use of PyTorch, Python, and R within the RStudio IDE. It is assumed that you have prior knowledge of coding in the Python and R enviroinments. If you do not have experience coding, please take a look at our Open-Source GIScience and Open-Source Spatial Analytics (R) courses, which explore coding in Python and R, respectively. After completing this seminar you will be able to: explain how ANNs work including weights, bias, activation, and optimization. describe and explain different loss and assessment metrics and determine appropriate use cases. use the tensor data model to represent data as input for deep learning. explain how CNNs work including convolutional operations/layers, kernel size, stride, padding, max pooling, activation, and batch normalization. use PyTorch, Python, and R to prepare data, produce and assess scene classification models, and infer to new data. explain common semantic segmentation architectures and how these methods allow for pixel-level classification and how they are different from traditional CNNs. use PyTorch, Python, and R (or ArcGIS Pro) to prepare data, produce and assess semantic segmentation models, and infer to new data.

DC Atlas Plus is a mapping tool that contains hundreds of different data layers, organized by category. DC Atlas Plus is the updated version of DC Atlas, which was created by OCTO GIS, as an easy way to view geographic information about the District of Columbia. This new and improved version of DC Atlas allows you to search for addresses, intersections, or place names; analyze and identify data; and create maps that you can share. For detailed instructions on how to use DC Atlas Plus, please use the Guide, located on the Help menu.

A web experience for all things Community Development related, in the City of Milton, Ga. The main purpose of this app is to be able to search a Milton address, and all the related data such as plat, permit, council district, variance information etc. associated with this address/parcel, be returned in one pop up. No need to toggle between layers, making it easy to use and navigate.

Links to recordings of the Integrated Services Program and 9-1-1 & Geospatial Services Bureau webinar series, including NG9-1-1 GIS topics such as: data preparation; data provisioning and maintenance; boundary best practices; and extract, transform, and load (ETL). Offerings include:Topic: Virginia Next Generation 9-1-1 Dashboard and Resources Update Description: Virginia recently updated the NG9-1-1 Dashboard with some new tabs and information sources and continues to develop new resources to assist the GIS data work. This webinar provides an overview of changes, a demonstration of new functionality, and a guide to finding and using new resources that will benefit Virginia public safety and GIS personnel with roles in their NG9-1-1 projects. Wednesday 16 June 2021. Recording available at: https://vimeo.com/566133775Topic: Emergency Service Boundary GIS Data Layers and Functions in your NG9-1-1 PSAP Description: Law, Fire, and Emergency Medical Service (EMS) Emergency Service Boundary (ESB) polygons are required elements of the NENA NG9-1-1 GIS data model stack that indicate which agency is responsible for primary response. While this requirement must be met in your Virginia NG9-1-1 deployment with AT&T and Intrado, there are quite a few ways you could choose to implement these polygons. PSAPs and their GIS support must work together to understand how this information will come into a NG9-1-1 i3 PSAP and how it will replace traditional ESN information in order to make good choices while implementing these layers. This webinar discusses:the function of ESNs in your legacy 9-1-1 environment, the role of ESBs in NG9-1-1, and how ESB information appears in your NG9-1-1 PSAP. Wednesday, 22 July 2020. Recording available at: https://vimeo.com/441073056#t=360sTopic: "The GIS Folks Handle That": What PSAP Professionals Need to Know about the GIS Project Phase of Next Generation 9-1-1 DeploymentDescription: Next Generation 9-1-1 (NG9-1-1) brings together the worlds of emergency communication and spatial data and mapping. While it may be tempting for PSAPs to outsource cares and concerns about road centerlines and GIS data provisioning to 'the GIS folks', GIS staff are crucial to the future of emergency call routing and location validation. Data required by NG9-1-1 usually builds on data that GIS staff already know and use for other purposes, so the transition requires them to learn more about PSAP operations and uses of core data. The goal of this webinar is to help the PSAP and GIS worlds come together by explaining the role of the GIS Project in the Virginia NG9-1-1 Deployment Steps, exploring how GIS professionals view NG9-1-1 deployment as a project, and fostering a mutual understanding of how GIS will drive NG9-1-1. 29 January 2020. Recording available at: https://vimeo.com/showcase/9791882/video/761225474Topic: Getting Your GIS Data from Here to There: Processes and Best Practices for Extract, Transform and Load (ETL) Description: During the fall of 2019, VITA-ISP staff delivered workshops on "Tools and Techniques for Managing the Growing Role of GIS in Enterprise Software." This session presents information from the workshops related to the process of extracting, transforming, and loading data (ETL), best practices for ETL, and methods for data schema comparison and field mapping as a webinar. These techniques and skills assist GIS staff with their growing role in Next Generation 9-1-1 but also apply to many other projects involving the integration and maintenance of GIS data. 19 February 2020. Recording available at: https://vimeo.com/showcase/9791882/video/761225007Topic: NG9-1-1 GIS Data Provisioning and MaintenanceDescription: VITA ISP pleased to announce an upcoming webinar about the NG9-1-1 GIS Data Provisioning and Maintenance document provided by Judy Doldorf, GISP with the Fairfax County Department of Information Technology and RAC member. This document was developed by members of the NG9-1-1 GIS workgroup within the VITA Regional Advisory Council (RAC) and is intended to provide guidance to local GIS and PSAP authorities on the GIS datasets and associated GIS to MSAG/ALI validation and synchronization required for NG9-1-1 services. The document also provides guidance on geospatial call routing readiness and the short- and long-term GIS data maintenance workflow procedures. In addition, some perspective and insight from the Fairfax County experience in GIS data preparation for the AT&T and West solution will be discussed in this webinar. 31 July 2019. Recording available at: https://vimeo.com/showcase/9791882/video/761224774Topic: NG9-1-1 Deployment DashboardDescription: I invite you to join us for a webinar that will provide an overview of our NG9-1-1 Deployment Dashboard and information about other online ISP resources. The ISP website has been long criticized for being difficult to use and find information. The addition of the Dashboard and other changes to the website are our attempt to address some of these concerns and provide an easier way to find information especially as we undertake NG9-1-1 deployment. The Dashboard includes a status map of all Virginia PSAPs as it relates to the deployment of NG9-1-1, including the total amount of funding requested by the localities and awards approved by the 9-1-1 Services Board. During this webinar, Lyle Hornbaker, Regional Coordinator for Region 5, will navigate through the dashboard and provide tips on how to more effectively utilize the ISP website. 12 June 2019. Recording not currently available. Please see the Virginia Next Generation 9-1-1 Dashboard and Resources Update webinar recording from 16 June 2021. Topic: PSAP Boundary Development Tools and Process RecommendationDescription: This webinar will be presented by Geospatial Program Manager Matt Gerike and VGIN Coordinator Joe Sewash. With the release of the PSAP boundary development tools and PSAP boundary segment compilation guidelines on the VGIN Clearinghouse in March, this webinar demonstrates the development tools, explains the process model, and discusses methods, tools, and resources available for you as you work to complete PSAP boundary segments with your neighbors. 15 May 2019. Recording available at: https://www.youtube.com/watch?v=kI-1DkUQF9Q&feature=youtu.beTopic: NG9-1-1 Data Preparation - Utilizing VITA's GIS Data Report Card ToolDescription: This webinar, presented by VGIN Coordinator Joe Sewash, Geospatial Program Manager Matt Gerike, and Geospatial Analyst Kenny Brevard will provide an overview of the first version of the tools that were released on March 25, 2019. These tools will allow localities to validate their GIS data against the report card rules, the MSAG and ALI checks used in previous report cards, and the analysis listed in the NG9-1-1 migration proposal document. We will also discuss the purpose of the tools, input requirements, initial configuration, how to run them, and how to make sense of your results. 10 April 2019. Recording available at: https://vimeo.com/showcase/9791882/video/761224495Topic: NG9-1-1 PSAP Boundary Best Practice WebinarDescription: During the months of November and December, VITA ISP staff hosted regional training sessions about best practices for PSAP boundaries as they relate to NG9-1-1. These sessions were well attended and very interactive, therefore we feel the need to do a recap and allow those that may have missed the training to attend a makeup session. 30 January 2019. Recording not currently available. Please see the PSAP Boundary Development Tools and Process Recommendation webinar recording from 15 May 2019.Topic: NG9-1-1 GIS Overview for ContractorsDescription: The Commonwealth of Virginia has started its migration to next generation 9-1-1 (NG9-1-1). This migration means that there will be a much greater reliance on geographic information (GIS) to locate and route 9-1-1 calls. VITA ISP has conducted an assessment of current local GIS data and provided each locality with a report. Some of the data from this report has also been included in the localities migration proposal, which identifies what data issues need to be resolved before the locality can migrate to NG9-1-1. Several localities in Virginia utilize a contractor to maintain their GIS data. This webinar is intended for those contractors to review the data in the report, what is included in the migration proposal and how they may be called on to assist the localities they serve. It will still ultimately be up to each locality to determine whether they engage a contractor for assistance, but it is important for the contractor community to understand what is happening and have an opportunity to ask questions about the intent and goals. This webinar will provide such an opportunity. 22 August 2018. Recording not currently available. Please contact us at NG911GIS@vdem.virginia.gov if you are interested in this content.

Low with reach zone of district-experience greenery and squares (>5ha) at district level (800m and 10 min walk). (zie ook geodata-portaal - https://geoportaal.antwerpen.be/portal/home/search.html?q=gebruiksgroen , open geodata-portaal - http://portaal-stadantwerpen.opendata.arcgis.com/datasets?q=gebruiksgroen , becijferd in stad in cijfers - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=bbd21323-98ed-41ee-ba0c-851948feb092 ) Laag met bereikzone van gepland wijk-belevingsgroen en -pleinen (>5ha): Island and Scheldt quays. By district experience greenery and squares we mean: - publicly accessible greenery larger than 5 ha (or 50,000 m2): parks, pocket parks, hanging greenery, fort greenery, dog walking area, city forest, play forest, cemetery, green playgrounds, publicly accessible building greenery, for example Mastvest, Steytelinckpark, Boekenbergpark - agricultural or agricultural greenery larger than 5 ha (or 50,000 m2), unless completely inaccessible - natural greenery larger than 5 ha (or 50,000 m2) unless completely inaccessible: e.g. Hobokense Polder, Wolvenberg - publicly accessible paved areas larger than 5 ha (or 50,000 m2): e.g. Spoor Oost, Oude Dokken aan het Eilandje This data layer is updated annually in January, provided that the facility is managed and updated annually by the relevant sector/service. The facility has a certain range based on walking distance, taking into account important barriers (water, ring, highway, rail,...) and safe crossings for vulnerable road users (tunnels, bridges, pedestrian crossings with traffic lights). - building block device: 150 meters or 2 minutes walk - neighborhood facility: 400 meters or 5 minutes walk - neighborhood facility: 800 meters or 10 minutes walking / 1,000 meters or 15 minutes walking - district facility: 1,600 meters or 20 minutes walking or 10 minutes cycling / 2,400 meters or 30 minutes walking or 15 minutes cycling. In total, some 50 local housing support facilities will be given access zones. In combination with the deficit zone, this layer gives an idea of the spatial distribution of this facility. This allows the policy to plan a balanced spatial distribution of the facility based on walking distance.

Low with reach zone of district-experience greenery, water and squares (>5ha) at district level (800m and 10 min walk). (zie ook geodata-portaal - https://geoportaal.antwerpen.be/portal/home/search.html?q=gebruiksgroen , open geodata-portaal - http://portaal-stadantwerpen.opendata.arcgis.com/datasets?q=gebruiksgroen , becijferd in stad in cijfers - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=bbd21323-98ed-41ee-ba0c-851948feb092 ) Laag met bereikzone van gepland wijk-belevingsgroen en -pleinen (>5ha): Island and Scheldt quays. By district experience greenery, water and squares we mean: - publicly accessible greenery larger than 5 ha (or 50,000 m2): parks, pocket parks, hanging greenery, fort greenery, dog walking area, city forest, play forest, cemetery, green playgrounds, publicly accessible building greenery, for example Mastvest, Steytelinckpark, Boekenbergpark - agricultural or agricultural greenery larger than 5 ha (or 50,000 m2), unless completely inaccessible - natural greenery larger than 5 ha (or 50,000 m2) unless completely inaccessible: e.g. Hobokense Polder, Wolvenberg - water larger than 5 ha (or 50,000 m2): e.g. Galgenweel, Burchtse Weel, Docks, Scheldt - publicly accessible paved areas larger than 5 ha (or 50,000 m2): e.g. Spoor Oost, Oude Dokken aan het Eilandje This data layer is updated annually in January, provided that the facility is managed and updated annually by the relevant sector/service. The facility has a certain range based on walking distance, taking into account important barriers (water, ring, highway, rail,...) and safe crossings for vulnerable road users (tunnels, bridges, pedestrian crossings with traffic lights). - building block device: 150 meters or 2 minutes walk - neighborhood facility: 400 meters or 5 minutes walk - neighborhood facility: 800 meters or 10 minutes walking / 1,000 meters or 15 minutes walking - district facility: 1,600 meters or 20 minutes walking or 10 minutes cycling / 2,400 meters or 30 minutes walking or 15 minutes cycling. In total, some 50 local housing support facilities will be given access zones. In combination with the deficit zone, this layer gives an idea of the spatial distribution of this facility. This allows the policy to plan a balanced spatial distribution of the facility based on walking distance.

A collection of citywide Geographic Information System (GIS) layers that show areas of potential flooding scenarios under varying sea level rise conditions. Please see the New York City Stormwater Resiliency Plan for more information about the methodology applied to develop the maps. Please direct questions or comments to StormwaterResiliency@cityhall.nyc.gov.

This collection contains the following NYC Stormwater Flood Maps:

• NYC Stormwater Flood Map - Extreme Flood (3.66 inches/hr) with 2080 Sea Level Rise
• NYC Stormwater Flood Map - Moderate Flood (2.13 inches/hr) with 2050 Sea Level Rise
• NYC Stormwater Flood Map - Moderate Flood (2.13 inches/hr) with Current Sea Levels
• NYC Stormwater Flood Map - Limited Flood (1.77 inches/hr) with Current Sea Levels

Source Data: http://nyc.gov/stormwater-map

OVERVIEWThis site is dedicated to raising the level of spatial and data literacy used in public policy. We invite you to explore curated content, training, best practices, and datasets that can provide a baseline for your research, analysis, and policy recommendations. Learn about emerging policy questions and how GIS can be used to help come up with solutions to those questions.EXPLOREGo to your area of interest and explore hundreds of maps about various topics such as social equity, economic opportunity, public safety, and more. Browse and view the maps, or collect them and share via a simple URL. Sharing a collection of maps is an easy way to use maps as a tool for understanding. Help policymakers and stakeholders use data as a driving factor for policy decisions in your area.ISSUESBrowse different categories to find data layers, maps, and tools. Use this set of content as a driving force for your GIS workflows related to policy. RESOURCESTo maximize your experience with the Policy Maps, we’ve assembled education, training, best practices, and industry perspectives that help raise your data literacy, provide you with models, and connect you with the work of your peers.

This Web Map serves as the data backbone for the Illinois Public Broadband Map Experience Builder, providing real-time broadband coverage, funding, and infrastructure project data. Developed for the Illinois Department of Commerce's Office of Broadband, this map integrates key broadband datasets to support public access, transparency, and decision-making.The Web Map contains interactive layers displaying broadband service availability, grant-funded projects, provider coverage areas, and funding eligibility, ensuring that users can explore and analyze broadband accessibility across Illinois.Important Links:Illinois Broadband Map (Experience Builder)Illinois Broadband Hub SiteKey Layers & Features:Broadband Coverage Data – Displays areas classified as unserved, underserved, and served based on broadband speed benchmarks.Connect Illinois Grant Projects – Highlights grant-funded broadband expansion initiatives across the state.Provider Service Areas – Maps Internet Service Providers’ (ISPs) coverage footprints and service availability.Public Query & Filtering Tools – Enables users to search by location, provider, or funding type to analyze broadband access.Community Anchor Institutions (CAIs) – Identifies schools, libraries, healthcare facilities, and government buildings critical for broadband expansion.Basemap Integration – Provides a custom basemap configuration for enhanced visualization of broadband data.Usage & Integration:Supports the Experience Builder: Required for the Illinois Public Broadband Map ExB, ensuring interactive functionality.Public & Agency Access: Designed for Illinois residents, local governments, ISPs, and policymakers to explore broadband service and funding opportunities.Broadband Expansion Strategy: Aligns with state and federal funding initiatives, including BEAD and Connect Illinois grants.Data-Driven Decision Making: Provides an authoritative source for broadband planning and transparency.Change Log:8/23/2024 – Final widget configurations completed in the Experience Builder; Web Map adjusted for compatibility.8/19/2024 – Updated Connect Illinois Grant Round layers with latest funding allocations.8/8/2024 – Query and search tools refined for enhanced usability.8/2/2024 – First draft of layers and data structure implemented.7/22/2024 – Layer optimization to improve performance and accessibility.7/11/2024 – Web Map created in the New Map Viewer to power the Experience Builder application.Important Links:📍 Illinois Public Broadband Map Experience Builder – Interactive public broadband mapping application.🌐 Illinois Broadband Hub Site – Access state broadband policies, grant programs, and mapping tools.Access & Contact:Contact: Illinois Office of Broadband | 📧 broadband@illinois.govMore Info: Illinois Broadband Program WebsiteThis Web Map powers the Illinois Public Broadband Map Experience Builder, providing a reliable and interactive resource for exploring broadband service availability and funding opportunities across the state.

The FloridaCommerce Office of Broadband BEAD Eligibility App allows for users to identify and gather insight about BEAD Eligibility within their area(s) of interest. The app is comprised of two tabs, the first tab allowing for a direct address search and the second tab providing County-level statistics for BEAD Eligibility.Layers used to build this app here.

This StoryMap describes the neighborhoods in Nashville and provides information on nearby apartments, restaurants, and points of interest.Nashville is one of the country's fastest growing cities. From music to healthcare, Nashville has seen an abundance of development in recent years. In 2023, 86 residents per day were moving to Nashville, and 18.6 million tourists visited the city [1].The first interactive feature will walk you through 11 neighborhoods found in Nashville. It was created using the “map tour” feature and walks you around a map of Nashville (created by me) while displaying the location and information. The information describes the ambience of each neighborhood as well as what they are known for and who typically lives in the area. All the information was provided by Nashville Guru [2]. Next, the story continues with rent for these locations. The values reflect the costs for studio/one-bedroom apartments. These costs were calculated using the Summary Statistics feature in ArcGIS Pro, which were then plotted in the chart seen in this StoryMap. After displaying the average values, there is a map of the individual apartments’ locations (created by me) with pop-ups showing the building name, starting rent, pool, and website link. This map and its pop-ups were created by me in ArcGIS Pro and then uploaded as a web map into ArcGIS Online. It utilizes an Experience Builder to allow you to filter through and focus on the apartments in each neighborhood. All of the information is available on apartments.com [3]. The next map dictates some restaurants in the area. The original feature layer was created by NNRobbins11 [4]. A spatial query was performed in ArcGIS pro by joining this restaurants layer to neighborhoods within a 1-mile distance. Like the apartments map, a filter is attached so that you may select a neighborhood. This allows you to select a neighborhood and then view the closest restaurants. There is also a pull-up arrow located at the bottom of this experience to allow users to view the pop-ups in table form.Finally, a sidecar is used to show the locations and information about local attractions. The map was created by me in ArcGIS Pro and shows 10 features with a name, description, and image. The description and image are shown in the left sidecar. All of this information is available in Nashville Guru [5]. The final video provides a live look of Nashville from a drone’s perspective [6]. Sources:[1] https://www.govloop.com/community/blog/the-enterprise-tech-driving-nashvilles-historic-growth/[2] https://nashvilleguru.com/neighborhoods[3] https://www.apartments.com/nashville-tn/?msockid=2dcf432ac6f36e722d9956e7c76a6fa7[4] https://services3.arcgis.com/58WV6GqBWodG9Kll/arcgis/rest/services/Nashville_Eateries/FeatureServer[5] https://nashvilleguru.com/[6] https://www.bing.com/videos/riverview/relatedvideo?&q=nashville+birds+eye+video&&mid=2489D5A39FFFCAE7A92B2489D5A39FFFCAE7A92B&&FORM=VRDGAR

Tornado TracksThis feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays tornadoes in the United States, Puerto Rico and U.S. Virgin Islands between 1950 and 2024. A tornado track shows the route of a tornado. Per NOAA, "A tornado is a narrow, violently rotating column of air that extends from a thunderstorm to the ground. Because wind is invisible, it is hard to see a tornado unless it forms a condensation funnel made up of water droplets, dust and debris. Tornadoes can be among the most violent phenomena of all atmospheric storms we experience. The most destructive tornadoes occur from supercells, which are rotating thunderstorms with a well-defined radar circulation called a mesocyclone. (Supercells can also produce damaging hail, severe non-tornadic winds, frequent lightning, and flash floods.)"EF-5 Tornado Track (May 3, 1999) near Oklahoma City, OklahomaData currency: December 30, 2024Data source: Storm Prediction CenterData modifications: Added fields Calculated Month and DateFor more information: Severe Weather 101 - Tornadoes; NSSL Research: TornadoesSupport documentation: SPC Tornado, Hail, and Wind Database Format SpecificationFor feedback, please contact: ArcGIScomNationalMaps@esri.comNational Oceanic and Atmospheric AdministrationPer NOAA, its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."