Discover how to display and symbolize both 2D and 3D data. Search, access, and create new map symbols. Learn to specify and configure text symbols for your map. Complete your map by creating an effective layout to display and distribute your work.

In this course, you will learn to work within the free and open-source R environment with a specific focus on working with and analyzing geospatial data. We will cover a wide variety of data and spatial data analytics topics, and you will learn how to code in R along the way. The Introduction module provides more background info about the course and course set up. This course is designed for someone with some prior GIS knowledge. For example, you should know the basics of working with maps, map projections, and vector and raster data. You should be able to perform common spatial analysis tasks and make map layouts. If you do not have a GIS background, we would recommend checking out the West Virginia View GIScience class. We do not assume that you have any prior experience with R or with coding. So, don't worry if you haven't developed these skill sets yet. That is a major goal in this course. Background material will be provided using code examples, videos, and presentations. We have provided assignments to offer hands-on learning opportunities. Data links for the lecture modules are provided within each module while data for the assignments are linked to the assignment buttons below. Please see the sequencing document for our suggested order in which to work through the material. After completing this course you will be able to: prepare, manipulate, query, and generally work with data in R. perform data summarization, comparisons, and statistical tests. create quality graphs, map layouts, and interactive web maps to visualize data and findings. present your research, methods, results, and code as web pages to foster reproducible research. work with spatial data in R. analyze vector and raster geospatial data to answer a question with a spatial component. make spatial models and predictions using regression and machine learning. code in the R language at an intermediate level.

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)

This data contains the tile layout for imagery acquisition as part of the Digital High-Resolution Aerial Photography program. Note this tile layout reflects the overall grid and not the mapping limits. These tiles are the 3 inch imagery done as part of local buy-ups during the 2017 western shore imagery collection. Note this tile layout reflects the overall grid and not the mapping limits.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Imagery/MD_ImageryAcquisitionFlightInformation/FeatureServer/3

Geoform is a configurable app template for form based data editing of a Feature Service. This application allows users to enter data through a form instead of a map's pop-up while leveraging the power of the Web Map and editable Feature Services. This app geo-enables data and workflows by lowering the barrier of entry for completing simple tasks. Use CasesProvides a form-based experience for entering data through a form instead of a map pop-up. This is a good choice for users who find forms a more intuitive format than pop-ups for entering data.Useful to collect new point data from a large audience of non technical staff or members of the community.Configurable OptionsGeoform has an interactive builder used to configure the app in a step-by-step process. Use Geoform to collect new point data and configure it using the following options:Choose a web map and the editable layer(s) to be used for collection.Provide a title, logo image, and form instructions/details.Control and choose what attribute fields will be present in the form. Customize how they appear in the form, the order they appear in, and add hint text.Select from over 15 different layout themes.Choose the display field that will be used for sorting when viewing submitted entries.Enable offline support, social media sharing, default map extent, locate on load, and a basemap toggle button.Choose which locate methods are available in the form, including: current location, search, latitude and longitude, USNG coordinates, MGRS coordinates, and UTM coordinates.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. 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.

This specialized location dataset delivers detailed information about marina establishments. Maritime industry professionals, coastal planners, and tourism researchers can leverage precise location insights to understand maritime infrastructure, analyze recreational boating landscapes, and develop targeted strategies.

How Do We Create Polygons?

-All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery, satellite data, and street-level views to ensure precision. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct highly detailed polygons. This meticulous process ensures maximum accuracy and consistency. -We verify our polygons through multiple quality assurance checks, focusing on accuracy, relevance, and completeness.

What's More?

-Custom Polygon Creation: Our team can build polygons for any location or category based on your requirements. Whether it’s a new retail chain, transportation hub, or niche point of interest, we’ve got you covered. -Enhanced Customization: In addition to polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your geospatial data. -Flexible Data Delivery Formats: We provide datasets in industry-standard GIS formats like WKT, GeoJSON, Shapefile, and GDB, making them compatible with various systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your polygon data is always up-to-date for evolving business needs.

Unlock the Power of POI and Geospatial Data

With our robust polygon datasets and point-of-interest data, you can: -Perform detailed market and location analyses to identify growth opportunities. -Pinpoint the ideal locations for your next store or business expansion. -Decode consumer behavior patterns using geospatial insights. -Execute location-based marketing campaigns for better ROI. -Gain an edge over competitors by leveraging geofencing and spatial intelligence.

Why Choose LocationsXYZ?

LocationsXYZ is trusted by leading brands to unlock actionable business insights with our accurate and comprehensive spatial data solutions. Join our growing network of successful clients who have scaled their operations with precise polygon and POI datasets. Request your free sample today and explore how we can help accelerate your business growth.

Layout of COA campus.

This map is part of the Archives and Special Collections, and is available for physical viewing under the call number C881. Explore the item in our Library Catalogue: Collection PermalinkPublication Date: 1800 Publisher Location: Place of publication not identified Publisher: Publisher not identified Scale: Scale not given Geographic Area: London (Ont.) Map Theme: Garden squares, Urban parks, London, Ont. Map Type: Drawing Description: Map of proposed park bordered by Ridout St., King St. & Dundas St. adjacent to the Old Middlesex County Court House & Jail Physical Size: 45 x 21 cm Notes: Publication date unknown; 1800s.

Download this ZIP collection and extract the folder to see all map files. Each file"s name reflects the print size.For the 2026 Ward shapefile, please visit the City of Cleveland Wards (2026) dataset.CLICK TO DOWNLOAD ALL MAPSThis folder contains the 2026 Ward Maps in both landscape and portrait orientations. These maps display the updated ward boundaries that will go into effect in 2026, ensuring users have access to a clear and comprehensive view of each ward’s layout.Each map provides:Clearly marked ward boundaries with labels or numbers.Key streets, landmarks, and natural features to assist with orientation.A legend explaining any colors, line styles, or symbols used.A north arrow for direction.A scale bar for approximate distance reference.The mixed orientations (landscape and portrait) accommodate different use cases—landscape for wider ward shapes and portrait for taller or more compact wards—ensuring flexibility in viewing and printing. These maps are an essential GIS resource for planners, policymakers, and community members involved in redistricting, demographic analysis, and community planning for the 2026 ward implementation.Update FrequencyStaticDepartment ContactCleveland City Planning Commission

MPA Boundary Creation:Created from a variety of source reference input. Small topological errors resolved to larger adjacent poly where necessary. Polylines may not be exact compared to source datasets necessary to resolve topological errors.Pima County:Oro ValleyDigitized from 2016 General Plan, referencing GIS linework from previous General Plan & Environmentally Sensitive Lands Project (previous TSSW project work for OV).https://www.orovalleyaz.gov/files/assets/public/documents/town-manager/general-plan/yourvoiceourfuturegeneralplan.pdfhttps://www.orovalleyaz.gov/files/assets/public/documents/town-manager/general-plan/general-plan-land-use-map.pdfAreas where OV General Plan conflicted with Marana General Plan – area had since been annexed into Marana and has included in the Marana GP polys. MaranaDigitized from Make Marana – 2040 General PlanMap atlas available at: https://static1.squarespace.com/static/54cc191ce4b0f886f4762582/t/5e50496454d84d590324e663/1582320010384/Marana+Map+Atlas+2.27.19+w_editsa.pdfSpecifically referenced Figure 1: Planning Area map dated 2/2019SahuaritaDigitized from Aspire 2035 – Sahuarity’s General Plan https://sahuaritaaz.gov/DocumentCenter/View/1169/Aspire-2035-Sahuaritas-General-Plan-Amended-2020?bidId=City of Tucson Digitized from COT Future Growth Scenario Plan .pdf https://www.tucsonaz.gov/files/integrated-planning/LT-7_Future_Growth_Scenario_Map_7-8-13.pdfPart of Plan Tucsonhttps://www.tucsonaz.gov/pdsd/plan-tucsonSanta Cruz County: **Note: The following had instances of overlapping polygons in the reference data and were left as a topological exceptions of overlapping polygons. Nogales & Patagonia General Plans, as both had the area covered in their GPs Tres Alamos General Plan & Benson GPSt David GP and Denson GPCCNogalesVerified linework from Nogales General Plan 2010http://www.azplanningcenter.com/Nogales/Files/2010_08_20-000-ExecutiveSummary_IntroductionAndOverview.pdfPatagoniaVerified linework from 2009 General Planhttps://issuu.com/seagoedd/docs/patagonia_general_plan?layout=http%253A%252F%252Fskin.issuu.com%252Fv%252Flight%252Flayout.xml&showFlipBtn=trueCochise County Created from various input GIS datasets:Comprehensive Plan Growth Areas feature classComprehensive Plan Design feature class

The City of La Porte GIS Public WebApp is an interactive online tool that provides easy access to geographic and spatial data for La Porte, Texas. Users can explore layers such as zoning, property lines, streets, and public facilities, helping residents, visitors, and planners navigate the city’s layout. The map offers customizable views, search functionality, and up-to-date information to support decision-making and planning.

Use the Chart Viewer template to display bar charts, line charts, pie charts, histograms, and scatterplots to complement a map. Include multiple charts to view with a map or side by side with other charts for comparison. Up to three charts can be viewed side by side or stacked, but you can access and view all the charts that are authored in the map. Examples: Present a bar chart representing average property value by county for a given area. Compare charts based on multiple population statistics in your dataset. Display an interactive scatterplot based on two values in your dataset along with an essential set of map exploration tools. Data requirements The Chart Viewer template requires a map with at least one chart configured. Key app capabilities Multiple layout options - Choose Stack to display charts stacked with the map, or choose Side by side to display charts side by side with the map. Manage chart - Reorder, rename, or turn charts on and off in the app. Multiselect chart - Compare two charts in the panel at the same time. Bookmarks - Allow users to zoom and pan to a collection of preset extents that are saved in the map. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

This dataset displays the proposed or final locations of Wind Turbines within a Wind Farm project. This includes locations and descriptive data about the wind turbines or Wind Turbine Generators (WTGs). Except for those that are already installed, these are the current maximums of turbines, heights, diameter and MW outputs as presented in the developer's Design Envelope scenarios. Final WTG design and layout may differ in the final buildout of the wind farm. These layers, are intended to show potential layouts and turbine model size maximums.View Dataset on the Gateway

This version of the Forest Resource Inventory complies with the Forest Information Manual 2007 (v.2) Technical Specifications. The inventory's extent is for the entire unit, and is the standard accepted FRI deliverable provided to clients since 2004. The term '2D' indicates that this version does not store z-values required to view the forest data in 3D. With the exception of not displaying the FRI data in 3D, the spatial layout and attributes for the 2D version are identical to the 3D inventory.

Note: The 2D version of the FRI is used to populate the structured Forest Cover data class (provincial extent) in the Land Information Ontario database.

Additional Time Period Information: New inventories are loaded as they are completed and archived.

Product Packages

Abitibi River Forest: Download 2D zip
Algoma Forest: Download 2D zip | 3D zip
Algonquin Park Forest: Download 2D zip | 3D zip


Bancroft-Minden Forest: Download 2D zip
Big Pic Forest: Download 2D zip | 3D zip
Black Spruce Forest: Download 2D zip | 3D zip


Caribou Forest: Download 2D zip | 3D zip
Crossroute Forest: Download 2D zip | 3D zip


Dog River-Matawin Forest: Download 2D zip | 3D zip
Dryden Forest: Download 2D zip | 3D zip 


English River Forest: Download 2D zip | 3D zip


French-Severn Forest: Download 2D zip | 3D zip


Gordon Cosens Forest: Download 2D zip | 3D zip


Hearst Forest: Download 2D zip | 3D zip


Kenora Forest: Download 2D zip


Lac Seul Forest: Download 2D zip | 3D zip
Lake Nipigon Forest: Download 2D zip | 3D zip
Lake Superior Provincial Park: Download 2D zip
Lakehead Forest: Download 2D zip


Magpie Forest: Download 2D zip | 3D zip
Martel Forest: Download 2D zip | 3D zip
Mazinaw-Lanark Forest: Download 2D zip | 3D zip


Nagagami Forest: Download 2D zip  
Nipissing Forest: Download 3D zip
North Shore Forest: Download 2D zip | 3D zip


Ogoki Forest: Download 2D zip | 3D zip


Pic River Forest: Download 2D zip | 3D zip
Pineland Forest: Download 2D zip | 3D zip
Pukaskwa Forest: Download 2D zip | 3D zip


Quetico Provincial Park: Download 2D zip | 3D zip


Red Lake Forest: Download 2D zip | 3D zip


Sapawe Forest: Download 2D zip | 3D zip
Spanish Forest: Download 2D zip | 3D zip
Sudbury Forest: Download 2D zip | 3D zip


Temagami Forest: Download 2D zip | 3D zip
Timiskaming Forest: Download 2D zip     
Trout Lake Forest: Download 2D zip | 3D zip


Wabakimi Provincial Park: Download 2D zip | 3D zip
Wabigoon Forest: Download 2D zip | 3D zip
Whiskey Jack Forest: Download 2D zip | 3D zip
White River Forest: Download 2D zip | 3D zip
Woodland Caribou Provincial Park: Download 2D zip

Status

On going: data is being continually updated

Maintenance and Update Frequency

As needed: data is updated as deemed necessary

Contact

Ken Smith, GIS Officer, Science and Research Branch, Ontario Ministry of Natural Resources and Forestry, ken.smith@ontario.ca