This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This tutorial introduces you to using Python code in a Jupyter Notebook, an open source web application that enables you to create and share documents that contain rich text, equations and multimedia, alongside executable code and visualization of analysis outputs. The tutorial begins by stepping through the basics of setting up and being productive with Python notebooks. You will be introduced to ArcGIS Notebooks, which are Python Notebooks that are well-integrated within the ArcGIS platform. Finally, you will be guided through a series of ArcGIS Notebooks that illustrate how to create compelling notebooks for data science that integrate your own Python scripts using the ArcGIS API for Python and ArcPy in combination with thousands of open source Python libraries to enhance your analysis and visualization.To download the dataset Labs, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/arcgis-notebooks-tutorial.git.Software & Solutions Used: Required: This tutorial was last tested on August 27th, 2024, using ArcGIS Pro 3.3. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Recommended: ArcGIS Online subscription account with permissions to use advanced Notebooks and GeoEnrichmentOptional: Notebook Server for ArcGIS Enterprise 11.3+Time to Complete: 2 h (excludes processing time)File Size: 196 MBDate Created: January 2022Last Updated: August 27, 2024

The ArcGIS World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online Subscription, or ArcGIS Location Platform Subscription, will provide you access to the ArcGIS World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the ArcGIS World Geocoding service documentation.

This web map references the live tiled map service from the OpenStreetMap project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information such as free satellite imagery, and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: http://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in Esri products under a Creative Commons Attribution-ShareAlike license.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.

Welcome to the Ordnance Survey Data Download in ArcGIS Online! This is a feature service that enables ArcGIS users to download OS Open Datasets via the ArcGIS Platform. These downloads come from the OS Open Data Hub.OS Terrain® 50: Visualise simple landscapes in 3D and bring your geographic analysis to life.This dataset comes as a Shapefile (.shp), an ASCII Grid and a Geopackage.Download ShapefileDownload ASCII GridDownload GeopackagePlease see here for the Terms Currency: This dataset points to the OS datahub so will be the most current dataset that they have available.

ArcGIS is a platform, and the platform is extending to the web. ArcGIS Online offers shared content, and has become a living atlas of the world. Ready-to-use curated content is published by Esri, Partners, and Users, and Esri is getting the ball rolling by offering authoritative data layers and tools.Specifically for Natural Resources data, Esri is offering foundational data useful for biogeographic analysis, natural resource management, land use planning and conservation. Some of the layers available are Land Cover, Wilderness Areas, Soils Range Production, Soils Frost Free Days, Watershed Delineation, Slope. The layers are available as Image Services that are analysis-ready and Geoprocessing Services that extract data for download and perform analysis.We've made large strides with online analysis. The latest release of ArcGIS Online's map viewer allows you to perform analysis on ArcGIS Online. Some of the currently available analysis tools are Find Hot Spots, Create Buffers, Summarize Within, Summarize Nearby. In addition, we've created Ready-to-use Esri hosted analysis tools that run on Esri hosted data. These are in Beta, and they include Watershed Delineation, Viewshed, Profile, and Summarize Elevation.

Collection of multispectral imagery from an aerial sensor is a means to obtain plot-level vegetation index (VI) values; however, post-capture image processing and analysis remain a challenge for small-plot researchers. An ArcGIS Pro workflow of two task items was developed with established routines and commands to extract plot-level VI values (Normalized Difference VI, Ratio VI, and Chlorophyll Index-Red Edge) from multispectral aerial imagery of small-plot turfgrass experiments. Users can access and download task item(s) from the ArcGIS Online platform for use in ArcGIS Pro. The workflow standardizes the processing of aerial imagery to ensure repeatability between sampling dates and across site locations. A guided workflow saves time with assigned commands, ultimately allowing users to obtain a table with plot descriptions and index values within a .csv file for statistical analysis. The workflow was used to analyze aerial imagery from a small-plot turfgrass research study evaluating herbicide effects on St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] grow-in. To compare methods, index values were extracted from the same aerial imagery by TurfScout, LLC and were obtained by handheld sensor. Index values from the three methods were correlated with visual percentage cover to determine the sensitivity (i.e., the ability to detect differences) of the different methodologies.

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.

This is a link to the QGIS website where you can download open-source GIS software for viewing, analyzing and manipulating geodata like our downloadable shapefiles.

Publicly accessible data services, apps, maps, downloads and KMLs for all of the Alaska Department of Natural Resources datasets. This is the community's public platform for exploring and downloading open data, discovering and building apps, and engaging to solve important local issues. Analyze and combine Open Datasets using maps, as well as develop new web and mobile applications. Let's make our great community even better, together!DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the Open Data application. To make changes to this site, please visit https://opendata.arcgis.com/admin/

This web map shows the broad land use zonings and major transportation networks within the Planning Scheme Area of Outline Zoning Plans in Hong Kong. It is a subset of the Digital Planning Data made available by the Town Planning Board under the Government of Hong Kong Special Administrative Region (the “Government”) at Digital Planning Data website at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and “DATA.GOV.HK” at https://DATA.GOV.HK/. The source data is in Shapefile format and processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of Digital Planning Data at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and DATA.GOV.HK at https://data.gov.hk.

These web layers display discrete tidal zoning generated by the National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS). Zoned tides, relative to a tidal datum, can be constructed by applying time and range correctors to observed water level data from a NOAA tide station. These correctors and the recommended tide stations are contained within discrete tide zones. Each zone was constructed with an ideal uncertainty of less than 0.45m at 95% Confidence Interval.Content: Discrete Tide Zones: Discrete tide zones delineate geographic areas of similar tidal characteristics. For each discrete zone, a tide curve can be constructed by applying a time (AvgTimeCorr) and range (RangeRatio) corrector to the observed water level data for the zone's assigned control water level station. Zones are grouped by geographic region. Table attributes contain tidal information for each zone:ControlStn: Operating water level station referenced by the zone AvgTimeCorr: Average of high and low tide time corrections in 6 minute intervalsRangeRatio: Range ratio (multiplier used to scale the tidal value read for the observation file)ControlStn2 (where available): Alternate operating water level station referenced by the zoneAvgTimeCorr2 (where available): Alternate average of high and low tide time corrections in 6 minute intervalsRangeRatio2 (where available): Alternate range ratio (multiplier used to scale the tidal value read for the observation file)Download Layers to Shapefile, CSV, FGDB, GeoJSON or Feature Collection by clicking on the "Export To" drop-down menu below.(Copy/paste the following link into your browser to access the authoritative data source: ftp://tidepool.nos.noaa.gov/pub/outgoing/HPT/CO-OPS_Regional_Zoning/)Note: Please be aware that you must create a free ArcGIS Online account before you can download the data.Tide Zone Water Level Correction for Hydrographic Data: To create a tide zone correction file for use with hydrographic processing software you will need the following information from the shapefiles contained in this map:Name (OBJECTID) and number of vertices for each zone that overlaps your area of coverageCoordinates of all vertices within each tide zone polygonReference/Control tide station (ControlStn or ControlStn2) for each zoneAverage tide time corrector (AvgTimeCorr or AvgTimeCorr2) and tide zone range ratio (RangeRatio or RangeRatio2)Reference/Control tide station name and coordinatesSix minute preliminary and verified water level data may be retrieved in one month increments over the internet from the CO-OPS web services at https://opendap.co-ops.nos.noaa.gov/axis/ by clicking on “Six Minute Data”.More Resources: https://tidesandcurrents.noaa.gov/hydro.html

This map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap includes bathymetry, marine water body names, undersea feature names, and derived depth values in meters. Land features include administrative boundaries, cities, inland waters, roads, overlaid on land cover and shaded relief imagery.

The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and DeLorme, HERE, and Esri for topographic content. The basemap was designed and developed by Esri.

The Ocean Basemap currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details, see the Community Maps Program.

Tip: Here are some famous oceanic locations as they appear in this map. Each URL below launches this map at a particular location via parameters specified in the URL: Challenger Deep, Galapagos Islands, Hawaiian Islands, Maldive Islands, Mariana Trench, Tahiti, Queen Charlotte Sound, Notre Dame Bay, Labrador Trough, New York Bight, Massachusetts Bay, Mississippi Sound

This data contains general information about Pedestrian Network in Hong Kong. Pedestrian Network is a set of 3D line features derived from road features and road furniture from Lands Department and Transport Department. A number of attributes are associated with the pedestrian network such as spatially related street names. Besides, the pedestrian network includes information like wheelchair accessibility and obstacles to facilitate the digital inclusion for the needy. Please refer to this video to learn how to use 3D Pedestrian Network Dataset in ArcGIS Pro to facilitate your transportation analysis.The data was provided in the formats of JSON, GML and GDB by Lands Department and downloaded via GEODATA.GOV.HK website.

The original data files were processed and converted into an Esri file geodatabase. Wheelchair accessibility, escalator/lift, staircase walking speed and street gradient were used to create and build a network dataset in order to demonstrate basic functions for pedestrian network and routing analysis in ArcMap and ArcGIS Pro. There are other tables and feature classes in the file geodatabase but they are not included in the network dataset, users have to consider the use of information based on their requirements and make necessary configurations. The coordinate system of this dataset is Hong Kong 1980 Grid.

The objectives of uploading the network dataset to ArcGIS Online platform are to facilitate our Hong Kong ArcGIS users to utilize the data in a spatial ready format and save their data conversion effort.

For details about the schema and information about the content and relationship of the data, please refer to the data dictionary provided by Lands Department at https://geodata.gov.hk/gs/download-datadict/201eaaee-47d6-42d0-ac81-19a430f63952.

For details about the data, source format and terms of conditions of usage, please refer to the website of GEODATA STORE at https://geodata.gov.hk.Dataset last updated on: 2022 Oct

Notice: this is not the latest Heat Island Severity image service. For 2023 data, visit https://tpl.maps.arcgis.com/home/item.html?id=db5bdb0f0c8c4b85b8270ec67448a0b6. This layer contains the relative heat severity for every pixel for every city in the contiguous United States. This 30-meter raster was derived from Landsat 8 imagery band 10 (ground-level thermal sensor) from the summer of 2021, patched with data from 2020 where necessary.Federal statistics over a 30-year period show extreme heat is the leading cause of weather-related deaths in the United States. Extreme heat exacerbated by urban heat islands can lead to increased respiratory difficulties, heat exhaustion, and heat stroke. These heat impacts significantly affect the most vulnerable—children, the elderly, and those with preexisting conditions.The purpose of this layer is to show where certain areas of cities are hotter than the average temperature for that same city as a whole. Severity is measured on a scale of 1 to 5, with 1 being a relatively mild heat area (slightly above the mean for the city), and 5 being a severe heat area (significantly above the mean for the city). The absolute heat above mean values are classified into these 5 classes using the Jenks Natural Breaks classification method, which seeks to reduce the variance within classes and maximize the variance between classes. Knowing where areas of high heat are located can help a city government plan for mitigation strategies.This dataset represents a snapshot in time. It will be updated yearly, but is static between updates. It does not take into account changes in heat during a single day, for example, from building shadows moving. The thermal readings detected by the Landsat 8 sensor are surface-level, whether that surface is the ground or the top of a building. Although there is strong correlation between surface temperature and air temperature, they are not the same. We believe that this is useful at the national level, and for cities that don’t have the ability to conduct their own hyper local temperature survey. Where local data is available, it may be more accurate than this dataset. Dataset SummaryThis dataset was developed using proprietary Python code developed at The Trust for Public Land, running on the Descartes Labs platform through the Descartes Labs API for Python. The Descartes Labs platform allows for extremely fast retrieval and processing of imagery, which makes it possible to produce heat island data for all cities in the United States in a relatively short amount of time.What can you do with this layer?This layer has query, identify, and export image services available. Since it is served as an image service, it is not necessary to download the data; the service itself is data that can be used directly in any Esri geoprocessing tool that accepts raster data as input.In order to click on the image service and see the raw pixel values in a map viewer, you must be signed in to ArcGIS Online, then Enable Pop-Ups and Configure Pop-Ups.Using the Urban Heat Island (UHI) Image ServicesThe data is made available as an image service. There is a processing template applied that supplies the yellow-to-red or blue-to-red color ramp, but once this processing template is removed (you can do this in ArcGIS Pro or ArcGIS Desktop, or in QGIS), the actual data values come through the service and can be used directly in a geoprocessing tool (for example, to extract an area of interest). Following are instructions for doing this in Pro.In ArcGIS Pro, in a Map view, in the Catalog window, click on Portal. In the Portal window, click on the far-right icon representing Living Atlas. Search on the acronyms “tpl” and “uhi”. The results returned will be the UHI image services. Right click on a result and select “Add to current map” from the context menu. When the image service is added to the map, right-click on it in the map view, and select Properties. In the Properties window, select Processing Templates. On the drop-down menu at the top of the window, the default Processing Template is either a yellow-to-red ramp or a blue-to-red ramp. Click the drop-down, and select “None”, then “OK”. Now you will have the actual pixel values displayed in the map, and available to any geoprocessing tool that takes a raster as input. Below is a screenshot of ArcGIS Pro with a UHI image service loaded, color ramp removed, and symbology changed back to a yellow-to-red ramp (a classified renderer can also be used): Other Sources of Heat Island InformationPlease see these websites for valuable information on heat islands and to learn about exciting new heat island research being led by scientists across the country:EPA’s Heat Island Resource CenterDr. Ladd Keith, University of ArizonaDr. Ben McMahan, University of Arizona Dr. Jeremy Hoffman, Science Museum of Virginia Dr. Hunter Jones, NOAA Daphne Lundi, Senior Policy Advisor, NYC Mayor's Office of Recovery and ResiliencyDisclaimer/FeedbackWith nearly 14,000 cities represented, checking each city's heat island raster for quality assurance would be prohibitively time-consuming, so The Trust for Public Land checked a statistically significant sample size for data quality. The sample passed all quality checks, with about 98.5% of the output cities error-free, but there could be instances where the user finds errors in the data. These errors will most likely take the form of a line of discontinuity where there is no city boundary; this type of error is caused by large temperature differences in two adjacent Landsat scenes, so the discontinuity occurs along scene boundaries (see figure below). The Trust for Public Land would appreciate feedback on these errors so that version 2 of the national UHI dataset can be improved. Contact Dale.Watt@tpl.org with feedback.

This web map shows the Building Height Control Areas as shown on the Outline Zoning Plans in Hong Kong. It is a subset of the Digital Planning Data made available by the Town Planning Board under the Government of Hong Kong Special Administrative Region (the “Government”) at Digital Planning Data website at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and “DATA.GOV.HK” at https://DATA.GOV.HK/. The source data is in Shapefile format and processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of Digital Planning Data at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and DATA.GOV.HK at https://data.gov.hk.

This land cover data set is derived from the original raster based Globcover regional (Africa) archive. It has been post-processed to generate a vector version at national extent with the LCCS regional legend (46 classes). This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis.

The data set is intended for free public access.

The shape file's attributes contain the following fields: -Area (sqm) -ID -Gridcode (Globcover cell value) -LCCCode (unique LCCS code)

You can download a zip archive containing: -the shape file (.shp) -the ArcGis layer file with global legend (.lyr) -the ArcView 3 legend file (.avl) -the LCCS legend tables (.xls)

Supplemental Information:

This land cover product is a vector version (ESRI shape) of the Globcover archive that was published in 2008 as result of an initiative launched in 2004 by the European Space Agency (ESA). Globcover is currently the most recent (2005) and resoluted (300 m) datasets on land cover globally. Given the need of this valuable information for environmental studies, natural resources management and policy formulation, through activities of the Global Land Cover Network (GLCN) programme, the Globcover has been reprocessed to generate databases at national extent that can be analyzed through the Advanced Database Gateway software (ADG) by GLCN. ADG is a cross-cutting interrogation software that allows the easy and fast recombination of land cover polygons according to the individual end-user requirements. Aggregated land cover classes can be generated not only by name, but also using the set of existing classifiers. ADG uses land cover data with a Land Cover Classification System (LCCS) legend. The ADG software is available for download on the GLCN web site at http://www.glcn.org/sof_7_en.jsp

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Antonio Martucci

Data lineage:

This land cover database is provided as ESRI shape file (vector format) and derives from reprocessing the raster based Globcover database (regional version). Globcover has undergone the following process: a) vectoralization at the national extent using ESRI ArcGis (arcinfo) 9.3; b) topological reconstruction (custom AML scripts launched inside ArcGis-arcinfo 9.3); c) simplification of areas according to a minimum mapping unit of 0.1 skim (10 ha) (custom AML scripts launched inside ArcGis-arcinfo 9.3); application of the FAO/UNEP Land Cover Classification System (LCCS) legend (46 classes); final processing to assure full compatibility with the GLCN software Advanced Database Gateway (ADG).

Online resources:

Download - Land cover of Seychelles - Shape file format

GLOBCOVER on the ESA Web site

Global Land Cover Network - GLCN

This service shows the datasets listed below. All datasets are in the ITM coordnate system. This data is subject to change and will be updated from time to time. Datasets included in this zip are - Business Area Units -Forest boundary - Property boundary - Compartment boundary - Forest Inventory . Please refer to terms of use for this dataset before using. These are available below or on the Coillte Public Viewer. The link to this is also included on this page below. Use of data All data on this viewer is available to download and subject to the terms of use – by downloading the data you are agreeing to the terms of use. Data is in ITM format. You agree not to copy, publish or use the data on another website or in any manner likely to confuse members of the public or amount to misrepresentation as to your identity or relationship with Coillte. You agree not to access the data contained therein in any way which is unlawful, illegal, fraudulent or harmful or in connection with any for any unlawful, illegal, fraudulent or harmful activity, including data privacy breaches. The dataset is made available free of charge. We do not guarantee that this dataset, or any content in our Arc GIS online platform, will always be available or be uninterrupted. Coillte may suspend or withdraw or restrict the availability of all or part of the Viewer for business or operational reasons. The content on the Coillte ArcGIS platform is for general information only. Reasonable care has been exercised in the compilation of the information available through the ArcGIS online platform. There is no representation or warranty made as to the accuracy, completeness or currency of such information. The use of any such information, which may be altered or updated at any time without notice, is at the sole risk of the user. Coillte cannot accept responsibility for any errors or omissions or any consequential loss as a result of the same. Before relying on the information on this site, users should carefully evaluate its accuracy, currency, completeness and relevance for their purposes. The site and data are provided on an "as is" and "as available" basis and Coillte does not guarantee and assumes no legal liability or responsibility for the accuracy, timeliness, completeness, performance or fitness for a particular purpose, of the site or any content. Copyright Declaration You agree not to use the information provided except for research or private study and will not supply a copy of this information to any other person without seeking prior permission from Coillte. You may not use any part of this content for commercial purposes without obtaining permission from Coillte to do so, for which a license may be required. Coillte is the owner or licensee of all intellectual property rights in this layer and such rights are protected by copyright. You acknowledge that data downloaded are subject to change and update. If this information is to be published in any format (written or electronic) you will acknowledge this source and forward a copy of the material in published form to the Coillte office in Newtownmountkennedy or to info@coillte.ie For further information please contact info@coillte.ie

This service shows the datasets listed below. All datasets are in the ITM coordnate system. This data is subject to change and will be updated from time to time. Datasets included in this zip are - Life Sites and Millenium Forest Boundaries . Please refer to terms of use for this dataset before using. These are available below or on the Coillte Public Viewer. The link to this is also included on this page below. Use of data All data on this viewer is available to download and subject to the terms of use – by downloading the data you are agreeing to the terms of use. Data is in ITM format. You agree not to copy, publish or use the data on another website or in any manner likely to confuse members of the public or amount to misrepresentation as to your identity or relationship with Coillte. You agree not to access the data contained therein in any way which is unlawful, illegal, fraudulent or harmful or in connection with any for any unlawful, illegal, fraudulent or harmful activity, including data privacy breaches. The dataset is made available free of charge. We do not guarantee that this dataset, or any content in our Arc GIS online platform, will always be available or be uninterrupted. Coillte may suspend or withdraw or restrict the availability of all or part of the Viewer for business or operational reasons. The content on the Coillte ArcGIS platform is for general information only. Reasonable care has been exercised in the compilation of the information available through the ArcGIS online platform. There is no representation or warranty made as to the accuracy, completeness or currency of such information. The use of any such information, which may be altered or updated at any time without notice, is at the sole risk of the user. Coillte cannot accept responsibility for any errors or omissions or any consequential loss as a result of the same. Before relying on the information on this site, users should carefully evaluate its accuracy, currency, completeness and relevance for their purposes. The site and data are provided on an "as is" and "as available" basis and Coillte does not guarantee and assumes no legal liability or responsibility for the accuracy, timeliness, completeness, performance or fitness for a particular purpose, of the site or any content. Copyright Declaration You agree not to use the information provided except for research or private study and will not supply a copy of this information to any other person without seeking prior permission from Coillte. You may not use any part of this content for commercial purposes without obtaining permission from Coillte to do so, for which a license may be required. Coillte is the owner or licensee of all intellectual property rights in this layer and such rights are protected by copyright. You acknowledge that data downloaded are subject to change and update. If this information is to be published in any format (written or electronic) you will acknowledge this source and forward a copy of the material in published form to the Coillte office in Newtownmountkennedy or to info@coillte.ie For further information please contact info@coillte.ie

This web map shows the Planning Scheme Area of Statutory Plan in Hong Kong. It is a subset of the Digital Planning Data made available by the Town Planning Board under the Government of Hong Kong Special Administrative Region (the “Government”) at Digital Planning Data website at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and “DATA.GOV.HK” at https://DATA.GOV.HK/. The source data is in Shapefile format and processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of Digital Planning Data at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and DATA.GOV.HK at https://data.gov.hk.

This web map shows the amendments to matters shown on the Outline Zoning Plans in Hong Kong. It is a subset of the Digital Planning Data made available by the Town Planning Board under the Government of Hong Kong Special Administrative Region (the “Government”) at Digital Planning Data website at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and “DATA.GOV.HK” at https://DATA.GOV.HK/. The source data is in Shapefile format and processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of Digital Planning Data at https://www.pland.gov.hk/pland_en/info_serv/digital_planning_data/download.htm and DATA.GOV.HK at https://data.gov.hk.