14 datasets found
  1. g

    Heat maps

    • gimi9.com
    + more versions
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    Heat maps [Dataset]. https://gimi9.com/dataset/eu_https-www-arcgis-com-home-item-html-id-d34fff9d3b5f45ada0d83e423fa7a8ab/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Download: https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Hittekaart_dag.zip - https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Hittekaart_dag.zip Heatmaps SW/EMA The urban heat island effect (SHE) occurs when there is a temperature difference between city and surrounding countryside and is mainly the result of the built-up and paved environment. The SHE is the largest at night and is particularly noticeable during the summer months. The most well-known consequence of this effect is the ‘heat stress’ or the ‘feeling of unease’ in hot temperatures. During heat waves and especially at night, heat stress can lead to health problems and even mortality, especially among sick, young (-4y) and older (+65y) populations. Other consequences of the SHE are the failure of infrastructure, machinery, reduction of labor productivity, reduced service life of materials... The factors behind this radiation temperature map and which thus influence the SHE are: shadow effects, evaporation, wind effects and heat storage and radiation of buildings and materials. So far, there are no concrete objectives or regulations regarding the SHE. However, possible measures that can temper the SHE are: creating maximum shade, minimal paving, natural ventilation corridors, open water features, green design and trees in the public domain, green roofs, green facades, light materials for buildings and the public domain and reducing the ‘sky-view factor’ or ‘building containment’ of the public domain in order to avoid the indirect radiation of materials. The city of Antwerp initially mapped the SHE to develop a prevention and communication policy for its residents, companies and visitors and to implement policy measures to increase the quality of life in the city. In the second instance, this research is part of the preparation of the Antwerp Adaptation Strategy, which systematically maps out the city's challenges with regard to climate change. The same study found that the SHE will increase as a result of global warming.

  2. A

    LDP23: Low Carbon Heat Supply Sources (Climate Change Policy Map)

    • find.data.gov.scot
    • dtechtive.com
    • +1more
    csv, geojson, kml +1
    Updated Jun 23, 2023
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    Aberdeenshire Council (2023). LDP23: Low Carbon Heat Supply Sources (Climate Change Policy Map) [Dataset]. https://find.data.gov.scot/datasets/44547
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    csv(0.0253 MB), geojson(0.0326 MB), kml(0.0385 MB), shp(0.0327 MB)Available download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    Aberdeenshire Council
    Area covered
    Scotland
    Description

    Shire-wide Policy Data for LDP23

  3. a

    LDP23: Low Carbon Heat Supply Sources (Climate Change Policy Map)

    • spatialdata-abdnshire.opendata.arcgis.com
    Updated Jan 25, 2023
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    PPT_Creator2 (2023). LDP23: Low Carbon Heat Supply Sources (Climate Change Policy Map) [Dataset]. https://spatialdata-abdnshire.opendata.arcgis.com/datasets/d11ee1392d5d4390a90fb0be6a62552e
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    Dataset updated
    Jan 25, 2023
    Dataset authored and provided by
    PPT_Creator2
    Area covered
    Description

    Shire-wide Policy Data for LDP23

  4. g

    Skyviewfactor map

    • gimi9.com
    + more versions
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    Skyviewfactor map [Dataset]. https://gimi9.com/dataset/eu_https-www-arcgis-com-home-item-html-id-39a3ed0911bf4a8187e02abae3d82760/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Download: https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Skyviewfactor_kaart.tif - https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Skyviewfactor_kaart.tif Skyviewfactor - kaart SW/EMA The Sky view factor is an important parameter in the daytime heat map or potential radiation temperature map, and thus a major cause of the urban heat island effect. The potential radiation temperature is determined by the radiation that reaches a human body in the city. This radiation is a combination of shortwave radiation (light) and longwave radiation (infrared) that appears directly on the body or is projected indirectly via reflection on buildings and the ground on the body. The sky view factor is an important parameter in calculating direct and indirect radiation. The urban heat island effect (SHE) occurs when there is a temperature difference between city and surrounding countryside and is mainly the result of the built-up and paved environment. The SHE is the largest at night and is particularly noticeable during the summer months. The most well-known consequence of this effect is the ‘heat stress’ or the ‘feeling of unease’ in hot temperatures. During heat waves and especially at night, heat stress can lead to health problems and even mortality, especially among sick, young (-4y) and older (+65y) populations. Other consequences of the SHE are the failure of infrastructure, machinery, reduction of labour productivity, reduced lifespan of materials... The city of Antwerp mapped out the SHE in the first instance to develop a prevention and communication policy for its residents, companies and visitors and to take policy measures to increase the quality of life in the city. In the second instance, this research is part of the preparation of the Antwerp Adaptation Strategy, which systematically maps out the city's challenges with regard to climate change. The same study found that the SHE will increase as a result of global warming.

  5. g

    Heat map 2024 - EBO companies - heat demand | gimi9.com

    • gimi9.com
    Updated Jul 10, 2024
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    (2024). Heat map 2024 - EBO companies - heat demand | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_e4548edf-9f79-5a8d-a7ee-4b91c74138b4/
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    Dataset updated
    Jul 10, 2024
    Description

    Under the Energy Efficiency Directive and the Renewable Energy Directive, EU Member States were required to report national figures and plans on heat and cold by the end of June 2024. This is in line with the European Energy Union's strategy to achieve carbon neutrality by 2050. The main products are maps for the territory of Flanders with the heat demand at the level of the municipalities and the statistical sectors, maps of the existing and planned heat networks and finally also locations of potential heat supply points. The study was carried out by the Flemish Energy and Climate Agency. You can consult the accompanying report here: https://www.vlaanderen.be/building-living-and-energy/green-energy/heat map. This layer provides more information about the heat demand of large consumers, and was created on the basis of the reports of the companies that have signed the energy policy agreement (EBO). For the year 2022, they declared the heat demand in GJ per medium. For more background information, please refer to the Heat Map report.

  6. a

    Where Will Cooling Centers Improve Urban Heat Health?

    • hub.arcgis.com
    Updated Oct 25, 2021
    + more versions
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    Climate Solutions (2021). Where Will Cooling Centers Improve Urban Heat Health? [Dataset]. https://hub.arcgis.com/maps/climatesolutions::where-will-cooling-centers-improve-urban-heat-health/about
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    Dataset updated
    Oct 25, 2021
    Dataset authored and provided by
    Climate Solutions
    Area covered
    Description

    Extreme heat events, or heat waves, are on the rise and are becoming more intense according to the U.S. Environmental Protection Agency (EPA). These events are more than just an annoyance and can lead to illness and death, particularly among vulnerable populations including seniors and young people. The EPA also states prolong exposure to heat events can lead to other impact such as damaging crops or killing livestock. Climate resilience planning is one approach to preparing for and mitigating the effects of these heat event. Climate resilience planning in local communities involves several steps including assessing vulnerability and risk.This map is one of three in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these maps highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each map focuses on one specific heat resilience intervention that is intended to help mitigate against the climate hazard.This intervention map highlights census tracts that could benefit from improving access to cooling centers.Three inputs are used to calculate the score,High summer average land surface temperature (°F),Population aged 65 years and older (%), andPopulation with no vehicle access (%).The heat resilience index (HRI) and methodology were developed in collaboration with the U.S. Centers for Disease Control and Prevention (CDC) and the UC Davis, Department of Public Health.See the Heat Health Census Tracts hosted feature layer for additional details about sources and data processing.Related HRI maps include “Where Will a Buddy Program Improve Urban Heat Health?” and “Where Will Tree Planting Improve Urban Heat Health?”.

  7. e

    Skyviewfactor žemėlapyje

    • data.europa.eu
    html, json
    Updated Aug 13, 2025
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    Antwerpen (2025). Skyviewfactor žemėlapyje [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-39a3ed0911bf4a8187e02abae3d82760?locale=lt
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    json, htmlAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Antwerpen
    Description

    Download: https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Skyviewfactor_kaart.tif - https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Skyviewfactor_kaart.tif Skyviewfactor - kaart SW/EMA The Sky view factor is an important parameter in the daytime heat map or potential radiation temperature map, and thus a major cause of the urban heat island effect. The potential radiation temperature is determined by the radiation that reaches a human body in the city. This radiation is a combination of shortwave radiation (light) and longwave radiation (infrared) that appears directly on the body or is projected indirectly via reflection on buildings and the ground on the body. The sky view factor is an important parameter in calculating direct and indirect radiation. The urban heat island effect (SHE) occurs when there is a temperature difference between city and surrounding countryside and is mainly the result of the built-up and paved environment. The SHE is the largest at night and is particularly noticeable during the summer months. The most well-known consequence of this effect is the ‘heat stress’ or the ‘feeling of unease’ in hot temperatures. During heat waves and especially at night, heat stress can lead to health problems and even mortality, especially among sick, young (-4y) and older (+65y) populations. Other consequences of the SHE are the failure of infrastructure, machinery, reduction of labour productivity, reduced lifespan of materials... The city of Antwerp mapped out the SHE in the first instance to develop a prevention and communication policy for its residents, companies and visitors and to take policy measures to increase the quality of life in the city. In the second instance, this research is part of the preparation of the Antwerp Adaptation Strategy, which systematically maps out the city's challenges with regard to climate change. The same study found that the SHE will increase as a result of global warming.

  8. a

    Where Will Tree Planting Improve Urban Heat Health?

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Oct 25, 2021
    + more versions
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    Climate Solutions (2021). Where Will Tree Planting Improve Urban Heat Health? [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/2adfc2a8a552469c8df2b3fa859e7bbe
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    Dataset updated
    Oct 25, 2021
    Dataset authored and provided by
    Climate Solutions
    Area covered
    Description

    Extreme heat events, or heat waves, are on the rise and becoming more intense according to the U.S. Environmental Protection Agency (EPA). These events are more than just an annoyance and can lead to illness and death, particularly among vulnerable populations including seniors and young people. The EPA also states prolonged exposure to these heat events can lead to other impacts such as damaging crops or killing livestock. Climate resilience planning is one approach to preparing for and mitigating the effects of these heat event. Climate resilience planning in local communities involves several steps including assessing vulnerability and risk.This map is one of three in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these maps highlight areas of the community that are most likely to benefit from the resilience intervention the map supports. Each map focuses on one specific heat resilience intervention intended to help mitigate against the climate hazard.This intervention map highlights census tracts that could benefit from planting more trees.Three inputs are used to calculate the score,High Summer Average Land Surface Temperature (°F),Lack of Tree Canopy (%), andPopulation Density (Ppl/Km2).The HRI and methodology were developed in collaboration with the U.S. Centers for Disease Control and Prevention (CDC) and the UC Davis, Department of Public Health.See the Heat Health Census Tracts hosted feature layer for additional details about sources and data processing.Related HRI maps include “Where Will Cooling Centers Improve Urban Heat Health?” and “Where Will a Buddy Program Improve Urban Heat Health?”.

  9. G

    Drone-Assisted Vineyard Disease Heatmap Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
    + more versions
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    Growth Market Reports (2025). Drone-Assisted Vineyard Disease Heatmap Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/drone-assisted-vineyard-disease-heatmap-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Drone-Assisted Vineyard Disease Heatmap Market Outlook



    According to our latest research, the global drone-assisted vineyard disease heatmap market size reached a valuation of USD 412.7 million in 2024. The market is witnessing robust expansion, propelled by the increasing adoption of precision agriculture technologies, and is expected to grow at a CAGR of 17.2% over the forecast period. By 2033, the market is forecasted to achieve a value of USD 1,497.1 million. This growth trajectory is primarily fueled by the need for advanced disease monitoring and management tools in viticulture, helping vineyard owners optimize productivity and safeguard crop health.




    One of the primary growth factors driving the drone-assisted vineyard disease heatmap market is the escalating demand for precision agriculture solutions. Vineyard managers are increasingly leveraging drone technology to efficiently detect, map, and mitigate the spread of diseases such as powdery mildew, downy mildew, and botrytis. The ability of drones to capture high-resolution multispectral and thermal imagery enables timely identification of disease hotspots, ultimately reducing crop losses and minimizing the use of chemical pesticides. Furthermore, the integration of AI-powered analytics with drone-collected data allows for the creation of actionable disease heatmaps, empowering stakeholders to make data-driven decisions for targeted interventions. As the industry shifts towards sustainable practices, the adoption of such advanced monitoring tools is anticipated to accelerate.




    Another significant factor contributing to market growth is the rapid technological advancements in drone hardware and software ecosystems. Improvements in drone flight endurance, sensor capabilities, and real-time data transmission are enhancing the accuracy and reliability of vineyard disease heatmaps. The emergence of user-friendly software platforms that facilitate seamless data processing and visualization is lowering the barrier for adoption, even among small and medium vineyard operators. Additionally, the proliferation of service providers offering drone-based disease monitoring as a managed service is making these solutions more accessible to a broader range of end-users. The convergence of Internet of Things (IoT), cloud computing, and machine learning further augments the value proposition of drone-assisted disease mapping in viticulture.




    The market is also benefiting from favorable government initiatives and regulatory support aimed at promoting smart agriculture practices. Several countries are introducing subsidies, grants, and pilot programs to encourage the adoption of drone technology in agriculture, including viticulture. This policy environment is fostering innovation and collaboration among drone manufacturers, software developers, and research institutions. Moreover, the rising global demand for high-quality wine and the increasing occurrence of climate-related vineyard diseases are compelling growers to invest in proactive disease management solutions. As a result, the drone-assisted vineyard disease heatmap market is poised for sustained growth across both developed and emerging wine-producing regions.




    From a regional perspective, Europe currently dominates the global market, owing to its extensive vineyard acreage and strong emphasis on technological innovation in agriculture. North America follows closely, driven by the presence of large-scale commercial vineyards and a mature precision agriculture ecosystem. The Asia Pacific region is witnessing the fastest growth, fueled by the expansion of vineyards in countries like China and Australia, as well as increasing government support for agri-tech adoption. Latin America and the Middle East & Africa are also emerging as promising markets, albeit at a slower pace, due to growing awareness and gradual infrastructure development.





    Solution Analysis



    The solution segment of the drone-assisted vineyard disease heatmap market encompasses hardware, software, and servic

  10. f

    Heat map of the most promising strategies to improve access to screening for...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Jacqueline Ramke; Juan Carlos Silva; Michael Gichangi; Thulasiraj Ravilla; Helen Burn; John C. Buchan; Vivian Welch; Clare E. Gilbert; Matthew J. Burton (2023). Heat map of the most promising strategies to improve access to screening for cataract (prioritised by 183 panellists, April-June 2020, arranged by global score). [Dataset]. http://doi.org/10.1371/journal.pgph.0000631.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Jacqueline Ramke; Juan Carlos Silva; Michael Gichangi; Thulasiraj Ravilla; Helen Burn; John C. Buchan; Vivian Welch; Clare E. Gilbert; Matthew J. Burton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Heat map of the most promising strategies to improve access to screening for cataract (prioritised by 183 panellists, April-June 2020, arranged by global score).

  11. o

    Mapping future flood and heat disadvantage in Great Britain: An analysis of...

    • explore.openaire.eu
    Updated Apr 20, 2022
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    Melanie M. Kuhl (2022). Mapping future flood and heat disadvantage in Great Britain: An analysis of the current state of adaptation policies in projected hotspots at a local scale [Dataset]. http://doi.org/10.5281/zenodo.6473501
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    Dataset updated
    Apr 20, 2022
    Authors
    Melanie M. Kuhl
    Area covered
    Great Britain, United Kingdom
    Description

    Climate change impacts are not distributed equally or fairly (“just”) and the need to focus adaptation efforts on socially vulnerable communities is increasingly recognized. This paper identifies and maps the top 30 heat and flood disadvantaged British local authorities using open-source data and it investigates the status of and reasons for lack of adaptation actions based on a literature review. The results indicated relatively high to acute heat risks for the urban areas and high to extreme flood risks to numerous local authorities across Great Britain. While most authorities had climate action plans in place, the overall performance scores were low, only half had adaptation plans, and they lacked evidence on implementation. Funding and possibly knowledge gaps were identified as limiting factors and barriers to adaptation. These results suggest that British local authorities not only need more adaptation plans, but they also need to implement them and monitor their success. This research can assist policy makers during the adaptation planning process by allocating financial resources to those in need, with the goal to increase their resilience to future climate change impacts. A research paper submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Practice.

  12. u

    Heat Risk and Resilience Assessment in the UK, 2022

    • beta.ukdataservice.ac.uk
    Updated 2025
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    Sara Mehryar (2025). Heat Risk and Resilience Assessment in the UK, 2022 [Dataset]. http://doi.org/10.5255/ukda-sn-857640
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    Dataset updated
    2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Sara Mehryar
    Area covered
    United Kingdom
    Description

    Heatwaves are becoming more frequent and intense, yet many countries remain inadequately prepared to manage their impacts. Existing heat risk plans and responses often fail to account for the complex interdependencies among the various causes and impact pathways of heat waves.

    Effective planning requires a system-level understanding of these interdependencies to identify strategic entry points for action. This research employs a participatory system mapping approach to explore the interconnections among causes, impacts, and response actions during the UK heatwave events of summer 2022. Cognitive maps were developed shortly after the events, incorporating input from 38 stakeholders across sectors involved in the heatwave response. These maps informed a forensic disaster analysis designed to provide a holistic understanding of the heatwave’s causes, impacts, and adaptation measures.

    By analysing the interdependencies among these factors, we identified cascading effects and amplifiers that significantly intensified heat risk in the UK. Notably, we find that the primary heatwave impacts were often indirect, emerging or worsening due to cascading effects such as wildfires, drought, transportation disruptions, and the overburdening of first responders. In many cases, adaptation measures were reactive, addressing isolated, short-term impacts, while proactive, system-level approaches tackling interconnected impacts and root causes—such as vulnerable buildings, at-risk populations, and behavioural barriers—were largely absent. Additionally, we found notable variations in heat risk perceptions among groups. While individual sectors displayed a limited understanding of the broader heat risk system, a system-level perspective emerged through the aggregation of cognitive maps. The implications for adaptation research and policy are discussed.

  13. m

    Processed Data (Excerpts of co-occurrence analysis in WordStat) for The...

    • data.mendeley.com
    Updated Aug 7, 2019
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    Tim Stevens (2019). Processed Data (Excerpts of co-occurrence analysis in WordStat) for The Emergence and Evolution of Master Terms in the Public Debate about Livestock Farming: Semantic Fields, Communication Strategies and Policy Practices [Dataset]. http://doi.org/10.17632/229cdbbfmf.1
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    Dataset updated
    Aug 7, 2019
    Authors
    Tim Stevens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Excerpts of the co-occurrence analysis in WordStat (including 2D co-word maps, correspondence maps and heat maps) of two cases: booster-broiler (plofkip) and mega-stable (megastal). Please see the article for more information about the data collection and method.

  14. a

    Where Will a Buddy Program Improve Urban Heat Health?

    • community-climatesolutions.hub.arcgis.com
    Updated Nov 30, 2021
    + more versions
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    Climate Solutions (2021). Where Will a Buddy Program Improve Urban Heat Health? [Dataset]. https://community-climatesolutions.hub.arcgis.com/maps/e095e189f249439aaa9b11695336c7d2
    Explore at:
    Dataset updated
    Nov 30, 2021
    Dataset authored and provided by
    Climate Solutions
    Area covered
    Description

    Extreme heat events, or heat waves, are on the rise and are becoming more intense according to the U.S. Environmental Protection Agency (EPA). These events are more than just an annoyance and can lead to illness and death, particularly among vulnerable populations including seniors and young people. The EPA also states prolong exposure to heat events can lead to other impact such as damaging crops or killing livestock. Climate resilience planning is one approach to preparing for and mitigating the effects of these heat event. Climate resilience planning in local communities involves several steps including assessing vulnerability and risk.This map is one of three in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these maps highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each map focuses on one specific heat resilience intervention that is intended to help mitigate against the climate hazard.This intervention map highlights census tracts that could benefit from developing "be a heat buddy program".Three inputs are used to calculate the score,High summer average land surface temperature (°F),Population aged 65 years and older (%), andHouseholders living alone (%).The heat resilience index (HRI) and methodology were developed in collaboration with the U.S. Centers for Disease Control and Prevention (CDC) and the UC Davis, Department of Public Health.See the Heat Health Census Tracts hosted feature layer for additional details about sources and data processing.Related HRI maps include “Where Will Tree Planting Improve Urban Heat Health?” and “Where Will Cooling Centers Improve Urban Heat Health?”.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Heat maps [Dataset]. https://gimi9.com/dataset/eu_https-www-arcgis-com-home-item-html-id-d34fff9d3b5f45ada0d83e423fa7a8ab/

Heat maps

Explore at:
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

Download: https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Hittekaart_dag.zip - https://s3-ant1.antwerpen.be/prd-open-data-data-tank/raster/Hittekaart_dag.zip Heatmaps SW/EMA The urban heat island effect (SHE) occurs when there is a temperature difference between city and surrounding countryside and is mainly the result of the built-up and paved environment. The SHE is the largest at night and is particularly noticeable during the summer months. The most well-known consequence of this effect is the ‘heat stress’ or the ‘feeling of unease’ in hot temperatures. During heat waves and especially at night, heat stress can lead to health problems and even mortality, especially among sick, young (-4y) and older (+65y) populations. Other consequences of the SHE are the failure of infrastructure, machinery, reduction of labor productivity, reduced service life of materials... The factors behind this radiation temperature map and which thus influence the SHE are: shadow effects, evaporation, wind effects and heat storage and radiation of buildings and materials. So far, there are no concrete objectives or regulations regarding the SHE. However, possible measures that can temper the SHE are: creating maximum shade, minimal paving, natural ventilation corridors, open water features, green design and trees in the public domain, green roofs, green facades, light materials for buildings and the public domain and reducing the ‘sky-view factor’ or ‘building containment’ of the public domain in order to avoid the indirect radiation of materials. The city of Antwerp initially mapped the SHE to develop a prevention and communication policy for its residents, companies and visitors and to implement policy measures to increase the quality of life in the city. In the second instance, this research is part of the preparation of the Antwerp Adaptation Strategy, which systematically maps out the city's challenges with regard to climate change. The same study found that the SHE will increase as a result of global warming.

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