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.

Notice: this is not the latest Heat Island Severity image service.This layer contains the relative heat severity for every pixel for every city in the United States, including Alaska, Hawaii, and Puerto Rico. Heat Severity is a reclassified version of Heat Anomalies raster which is also published on this site. This data is generated from 30-meter Landsat 8 imagery band 10 (ground-level thermal sensor) from the summer of 2023.To explore previous versions of the data, visit the links below:Heat Severity - USA 2022Heat Severity - USA 2021Heat Severity - USA 2020Heat Severity - USA 2019Federal 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 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): A typical operation at this point is to clip out your area of interest. To do this, add your polygon shapefile or feature class to the map view, and use the Clip Raster tool to export your area of interest as a geoTIFF raster (file extension ".tif"). In the environments tab for the Clip Raster tool, click the dropdown for "Extent" and select "Same as Layer:", and select the name of your polygon. If you then need to convert the output raster to a polygon shapefile or feature class, run the Raster to Polygon tool, and select "Value" as the field.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 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). 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 Information of Barrier-free Facilities available in Home Affairs Department’s office premises. It is a set of the data made available by the Home Affair Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into 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 Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

This web map shows the Information of Barrier-free Facilities available in community halls/ community centres under the management of Home Affairs Department. It is a set of the data made available by the Home Affair Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into 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 Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

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 layer shows the location of Basketball Courts (Free Outdoor Pitches/Courts) in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into 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 DATA.GOV.HK at https://data.gov.hk.

This web map shows the location of 7-a-side Hard-surface Soccer Pitches (Free Outdoor Pitches/Courts) in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into 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 DATA.GOV.HK at https://data.gov.hk.

Notice: this is not the latest Heat Island Anomalies image service. For 2023 data visit https://tpl.maps.arcgis.com/home/item.html?id=e89a556263e04cb9b0b4638253ca8d10.This layer contains the relative degrees Fahrenheit difference between any given pixel and the mean heat value for the city in which it is located, 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, with patching from summer of 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 or cooler than the average temperature for that same city as a whole. 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.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 is a 13-band multispectral image service application that's part of the Living Atlas of the World on ArcGIS Online. It's also multi-temporal with a 5 day revisit time and includes the last 14 months of available imagery. It's updated daily with the latest imagery. The source imagery is hosted on AWS S3 in Franfurt. Anyone with an ArcGIS subscription has access to the service and does not use credits.

The interactive map creation tools market is experiencing robust growth, driven by increasing demand for visually engaging data representation across diverse sectors. The market's value is estimated at $2 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the rising adoption of location-based services, the proliferation of readily available geographic data, and the growing need for effective data visualization in business intelligence and marketing. The individual user segment currently holds a significant share, but corporate adoption is rapidly expanding, propelled by the need for sophisticated map-based analytics and internal communication. Furthermore, the paid use segment is anticipated to grow more quickly than the free use segment, reflecting the willingness of businesses and organizations to invest in advanced features and functionalities. This trend is further amplified by the increasing integration of interactive maps into various platforms, such as business intelligence dashboards and website content. Geographic expansion is also a significant growth driver. North America and Europe currently dominate the market, but the Asia-Pacific region is showing significant promise due to rapid technological advancements and increasing internet penetration. Competitive pressures remain high, with established players such as Google, Mapbox, and ArcGIS StoryMaps vying for market share alongside innovative startups offering specialized solutions. The market's restraints are primarily focused on the complexities of data integration and the technical expertise required for effective map creation. However, ongoing developments in user-friendly interfaces and readily available data integration tools are mitigating these challenges. The future of the interactive map creation tools market promises even greater innovation, fueled by developments in augmented reality (AR), virtual reality (VR), and 3D visualization technologies. We expect to see the emergence of more sophisticated tools catering to niche requirements, further driving market segmentation and specialization. Continued investment in research and development will also play a crucial role in pushing the boundaries of what's possible with interactive map creation. The market presents opportunities for companies to develop tools which combine data analytics and interactive map design.

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

Open data, commonly referred to by the English term "Open Data" even in the Italian context, are certain types of data that are freely accessible to everyone, without copyright restrictions, patents, or other forms of control that limit their reproduction. The opening of public databases promotes transparency, innovation, and efficiency in public administration and is an opportunity to create value-added services for high-performing and differentiated services and to help generate economic and business growth. With the "Open Data Project, the Useful Ones," the Municipality of Rimini aims to publish and share the Open Data held by the municipal administration to promote its dissemination, fostering policies of transparency, access, and participation. The project is part of the participatory path of the Digital Agenda of the Municipality of Rimini, the plan of which was approved with resolution G.C. n. 342 of 02/12/2014. https://sites.google.com/site/agendadigitalelocalerimini/piano The data opening process of the Municipality of Rimini, already started experimentally in previous years, has been defined with the approval of the opening strategy outlined in the "Guidelines for the reuse and dissemination of public data of the Municipality of Rimini" approved by the City Council with Resolution n. 270 of 11/08/2015, and with the establishment of the open data team through the formalization of a working group composed of contact persons identified within each Directorate, from which a path of involvement of the entire municipal administration was initiated, structured in the phases of awareness and reconnaissance of the entity's information assets to identify databases useful for publication. To this end, this online section "OPEN DATA Municipality of Rimini" has been implemented, created according to the standards set by the national Guidelines for the enhancement of public information assets, into which the datasets already published previously have been merged and where those of new identification or request will be published as they become available. The site is based on an open-source data cataloging software called CKAN, developed by the Open Knowledge Foundation: a non-profit organization that promotes free knowledge. Each entry contains a description of the data (metadata) and other useful information, such as available formats, the data holder, the license, and the topics that the data address. For geographic open data, the Geo open data web site http://data.sit-rimini.opendata.arcgis.com/, a section developed ad hoc by the Municipality of Rimini on the Esri's ArcGIS Online platform, which has made geographic open data more complete and usable, viewable in preview in graphic and tabular format, together with the metadata, can also be accessed from these pages. Send us suggestions, proposals and requests through the twitter, facebook, email channels. Translated from Italian Original Text: I dati aperti, comunemente chiamati con il termine inglese Open Data anche nel contesto italiano, sono alcune tipologie di dati liberamente accessibili a tutti, senza restrizioni di copyright, brevetti o altre forme di controllo che ne limitino la riproduzione. L'apertura delle banche dati pubbliche favorisce la trasparenza, l'innovazione e l'efficienza della PA ed è un'opportunità per creare servizi a valore aggiunto per prestazioni performanti e differenziate e per contribuire a generare crescita economica e d'impresa. Con il "Progetto Open Data, quelli utili" il Comune di Rimini si pone come obiettivo la pubblicazione e condivisione degli Open Data in possesso dell'Amministrazione comunale per promuoverne la diffusione favorendo politiche di trasparenza, accesso e partecipazione. Il progetto fa parte del percorso partecipativo dell' Agenda Digitale del Comune di Rimini il cui piano è stato approvato con deliberazione G.C. n. 342 del 02/12/2014. https://sites.google.com/site/agendadigitalelocalerimini/piano Il processo di apertura dei dati del Comune di Rimini, già avviato in fase sperimentale negli scorsi anni, ha avuto una sua definizione con l'approvazione della strategia di apertura delineata nelle "Linee guida per il riutilizzo e la diffusione dei dati pubblici del Comune di Rimini" approvate dalla Giunta Comunale con Deliberazione n.270 del 11/08/2015, e con l'istituzione del team open data avvenuta con la formalizzazione di un gruppo di lavoro composto da referenti individuati nell'ambito di ogni Direzione, a partire dalle quali è stato avviato un percorso di coinvolgimento dell'intera amministrazione comunale articolato nelle fasi di sensibilizzazione e ricognizione del patrimonio informativo dell'ente per poter individuare le banche dati utili alla pubblicazione. A tal fine è stata implementata questa sezione online "OPEN DATA Comune di Rimini", realizzata secondo gli standard fissati dalle Linee guida nazionali per la valorizzazione del patrimonio informativo pubblico, in cui sono confluiti i dataset già pubblicati in precedenza e dove verranno pubblicati man mano quelli di nuova individuazione o richiesta. Il sito è basato su un software opensource di catalogazione dei dati, chiamato CKAN, sviluppato dalla Open Knowledge Foundation: un'organizzazione noprofit che promuove il sapere libero. Ogni voce contiene una descrizione dei dati (metadati) e altre informazioni utili, come i formati disponibili, il detentore, la licenza e gli argomenti che i dati affrontano. Per gli open data geografici viene raggiunta da queste pagine anche la Geo open data web site http://data.sit-rimini.opendata.arcgis.com/ sezione sviluppata ad hoc dal Comune di Rimini sulla piattaforma Arcgis on line della Esri che ha reso gli open data geografici più completi e fruibili, visualizzabili in anteprima in formato grafico e tabellare, unitamente ai metadati. Inviateci suggerimenti, proposte e richieste attraverso i canali twitter, facebook,email.

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 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 web map shows the location of Roller Hockey Court (Free Outdoor Pitches/Courts) in Hong Kong. It is a subset of the data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into 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 DATA.GOV.HK at https://data.gov.hk.

This dataset shows the Forest Entrance points to Coillte Properties. 29/01/2024. 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 location of Cricket Ground (Free Outdoor Pitches/Courts) in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into 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 DATA.GOV.HK at https://data.gov.hk.

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/

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

This web map shows the location of Gateball Courts (Free Outdoor Pitches/Courts) in Hong Kong. It is a subset of the data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into 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 DATA.GOV.HK at https://data.gov.hk.