This highly specialized publication (Ontario Tree Seed Transfer Policy data) is available in English only in accordance with Regulation 671/92, which exempts it from translation under the French Language Services Act. To obtain information in French, please contact the Ministry of Natural Resources and Forestry at (1-800-667-1940).

The Ontario Tree Seed Transfer Policy ensures that seed used to regenerate forests has a good chance of producing trees that are adapted to their growing environment. It specifies where seed can be collected and used and the conditions under which seed may be transferred.

The data is provided as part of Appendix 1 of the Ontario Tree Seed Transfer Policy. It is available in both table and map formats , and also includes CSV and shape files.

Tabular display

This dataset includes three tables that show the spatial direction of the seed transfer policy based on the climate similarity analysis (refer to Appendix 1 of the policy for information on the climate similarity analysis):

• Table 1. For transitional period: Acceptable seed transfer from the 2010 Seed Zones of Ontario to current seed zones
• Table 2. Acceptable seed transfer from the 2010 Seed Zones of Ontario to ecodistricts
• Table 3. Acceptable seed transfer among ecodistricts

Within the tables, you can click and sort by your location of interest to understand the best seed sources to collect from or deploy to. You can sort by either seed zone or ecodistrict.

The policy recommends a climate similarity of 0.9 or greater to the targeted collection or deployment site.

Visual display

The climate similarity analysis used in developing this policy is also available as an interactive map.

Maps are available to help you make seed collection and deployment decisions, including:

• collecting seed by ecodistrict or county
• deploying seed by ecodistrict
• deploying seed by seed zone

You can also view:

• a detailed map of management unit by seed zone or by ecodistrict
• maps to help you make seed transfer decisions related to growing season, precipitation and temperature

SIS SOIL:The new Irish Soil Information System concludes a 5 year programme, supported by the Irish Environmental Protection Agency (STRIVE Research Programme 2007-2013) and Teagasc, to develop a new 1:250,000 scale national soil map (http://soils.teagasc.ie). The Irish Soil Information System adopted a unique methodology combining digital soil mapping techniques with traditional soil survey application. Developing earlier work conducted by An Foras Talúntais, the project generated soil-landscape models for previously surveyed counties. These soil-landscape (‘soilscape’) models formed the basis for training statistical ‘inference engines’ for predicting soil mapping units, checked during field survey. 213 soil series are identified, each with differing characteristics, having contrasting environmental and agronomic responses. Properties were recorded in a database able to satisfy national and EU policy requirements. The Irish soil map and related soil property data will also serve public interest, providing the means to learn online about Irish soil resources. Use the Symbology layer file 'SOIL_SISNationalSoil.lyr' based on Value Field 'Association_Unit'. SIS SOIL DRAINAGE:In Ireland, soil drainage category is considered to have a predominant influence on soil processes (Schulte et al., 2012). The maritime climate of Ireland drives wet soil conditions, such that excess soil moisture in combination with heavy textured soils is considered a key constraint in relation to achieving productivity and environmental targets. Both soil moisture content and the rate at which water drains from the soil are critical indicators of soil physical quality and the overall functional capacity of soil. Therefore, a natural extension to the Irish Soil Information System included the development of an indicative soil drainage map for Ireland. The soil subgroup map was used to develop the indicative drainage map, based on diagnostic criteria relating to the subgroup categorization. Use the Symbology layer file 'SOIL_SISSoilDrainage.lyr' based on Value Field 'Drainage'. SIS SOIL DEPTH: Soil depth is a measure of the thickness of the soil cover and reflects the relationship between parent material and length of soil forming processes. Soil depth determines the potential rooting depth of plants and any restrictions within the soil that may hinder rooting depth. Plants derive nearly 80 per cent of their water needs from the upper part of the soil solum, i.e. where the root system is denser. The rooting depths depend on plant physiology, type of soil and water availability. Generally, vegetables (beans, tomatoes, potatoes, parsnip, carrots, leek, broccoli, etc.) are shallow rooted, about 50–60 cm; fruit trees and some other plants have medium rooting depths, 70–120 cm and other crops such as barley, wheat, oats, and maize may have deeper roots. Furthermore, rooting depths vary according to the age of the plants. The exact soil depth is difficult to define accurately due to its high variability across the landscape. The effective soil depth can be reduced by the presence of bedrock or impermeable layers. Use the Symbology layer file 'SOIL_SISSoilDepth.lyr' based on Valued Field 'Depth'. SIS SOIL TEXTURE:Soil texture is an important soil characteristic that influences processes such as water infiltration rates, rootability, gas exchanges, leaching, chemical activity, susceptibility to erosion and water holding capacity. The soil textural class is determined by the percentage of sand, silt, and clay. Soil texture also influences how much water is available to the plant; clay soils have a greater water holding capacity than sandy soils. Use the Symbology layer file 'SOIL_SISSoilTexture.lyr' based on Value Field 'Texture'. SIS SOIL SOC:In the previous national soil survey conducted by An Foras Taluntais, 14 counties were described in detail with soil profile descriptions provided for the representative soil series found within a county. Soil samples were taken at each soil horizon to a depth of 1 meter and analyses performed for a range of measurements, including soil organic carbon, texture, cation exchange capacity, pH; however in most cases no bulk density measurements were taken. This meant that while soil organic carbon concentrations were available this could not be related to a stock for a given soil series. In 2012/2013, 246 profile pits were sampled and analysed as part of the Irish Soil Information System project to fill in gaps in the description of representative profile data for Ireland. Use the Symbology layer file 'SOIL_SISSoilSOC.lyr' based on Value Field 'SOC'.

L_RGCC_L111-6_019.TAB Article L 111-6 et seq. of the Urban Planning Code. Apart from the urbanised areas of the municipalities, constructions or installations are prohibited in a strip of 100 metres on either side of the axis of motorways, express roads and diversions within the meaning of the Highway Code and seventy-five metres on either side of the axis of other roads classified as high traffic. That prohibition shall also apply in a band of 75 metres on either side of the roads referred to in Article L. 141-19. The local planning plan, or an urban planning document in place, may lay down rules on location different from those laid down in Article L. 111-6 where it includes a study justifying, depending on the local characteristics, that those rules are compatible with taking into account nuisances, safety, architectural quality, and the quality of urban planning and landscapes. In municipalities with a municipal map, the competent municipality or public institution for inter-municipal cooperation may, with the agreement of the competent administrative authority of the State and after consulting the departmental commission on nature, landscapes and sites, lay down rules for setting up different sites than those provided for in Article L. 111-6, in the light of a study which justifies, depending on local specificities, that these rules are compatible with taking into account nuisances, safety, architectural quality and the quality of urban planning and landscapes.

This file contains the map layers used for map 2 'overview map of water policy and implementation' in the National Water Program 2022-2027. The maps in the National Water Program are drawn up as a printed map at A4 level and have only been checked and established at this level. This means that this data, which is used to make the printed maps, has no legal status. The risk of using this data lies with the user. In addition, it should be taken into account that some map elements are shown indicatively; the locations are not exact. This applies, for example, to the display of project locations. Finally, it is important that the datasets in this publication were used to create printed maps for the National Water Program in 2022. This makes them static data, which will not be kept up-to-date here after publication in 2022.

The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder. Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.Resources Available on ESRI’s Living AtlasACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)A conservative estimate of reported fatalities per admin1-monthThe total number of distinct violent actors active in the corresponding admin1 for each monthThis Living Atlas item is a Web Map, which provides a pre-configured view of ACLED event data in a few layers:ACLED Event Counts layer: events per admin1-month, styled by predominant event type for each location.ACLED Violent Actors layer: the number of distinct violent actors per admin1-month.ACLED Fatality Estimates layer: the estimated number of fatalities from political violence per admin1-month.These layers are based on the ACLED Conflict and Demonstrations Event Data Feature Layer, which has the same data but only a basic default styling that is similar to the Event Counts layer. The Web Map layers are configured with a time-slider component to account for the multiple months of data per admin1 unit. These indicators are also available in the ACLED Conflict and Demonstrations Data Key Indicators Group Layer, which includes the same preconfigured layers but without the time-slider component or background layers.Resources Available on the ACLED WebsiteThe fully disaggregated dataset is available for download on ACLED's website including:Date (day, month, year)Actors, associated actors, and actor typesLocation information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)A conservative fatality estimateDisorder type, event types, and sub-event typesTags further categorizing the data A notes column providing a narrative of the event For more information, please see the ACLED Codebook.To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).With an ACLED license, users can also leverage ACLED’s interactive Global Dashboard and check in for weekly data updates and analysis tracking key political violence and protest trends around the world. ACLED also has several analytical tools available such as our Early Warning Dashboard, Conflict Alert System (CAST), and Conflict Index Dashboard.

The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder. Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.Resources Available on ESRI’s Living AtlasACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)A conservative estimate of reported fatalities per admin1-monthThe total number of distinct violent actors active in the corresponding admin1 for each monthThis Living Atlas item is a Web Map, which provides a pre-configured view of ACLED event data in a few layers:ACLED Event Counts layer: events per admin1-month, styled by predominant event type for each location.ACLED Violent Actors layer: the number of distinct violent actors per admin1-month.ACLED Fatality Estimates layer: the estimated number of fatalities from political violence per admin1-month.These layers are based on the ACLED Conflict and Demonstrations Event Data Feature Layer, which has the same data but only a basic default styling that is similar to the Event Counts layer. The Web Map layers are configured with a time-slider component to account for the multiple months of data per admin1 unit. These indicators are also available in the ACLED Conflict and Demonstrations Data Key Indicators Group Layer, which includes the same preconfigured layers but without the time-slider component or background layers.Resources Available on the ACLED WebsiteThe fully disaggregated dataset is available for download on ACLED's website including:Date (day, month, year)Actors, associated actors, and actor typesLocation information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)A conservative fatality estimateDisorder type, event types, and sub-event typesTags further categorizing the data A notes column providing a narrative of the event For more information, please see the ACLED Codebook.To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).With an ACLED license, users can also leverage ACLED’s interactive Global Dashboard and check in for weekly data updates and analysis tracking key political violence and protest trends around the world. ACLED also has several analytical tools available such as our Early Warning Dashboard, Conflict Alert System (CAST), and Conflict Index Dashboard.

This 1:250000 soil map of Mexico is the result of a combination of three INEGI open-access datasets: The Series II soil units’ vectorial map is a nationwide polygon map delineating the soil groups at scale 1:250 000. It uses the World Reference Base for Soil Resources (WRB) to classify soils, and holds 63794 polygons. The Series I soil profiles data is a compendium of 9537 soil profiles collected between 1980 and 1998 all around Mexico. The Series II soil profiles data is a compendium of another 4418 soil profiles collected between 2002 and 2006 in the whole country. It consists of a polygon map of 2257 soil units of which 1498 are characterized with 9 attributes of soil functional properties.

These maps display the areas throughout the city that were impacted by the new school attendance zones as of SY2015-16. The area is considered impacted if it was reassigned to a different school or reassigned to just one of its current school options (previously some areas had rights to multiple schools due to school closures). These maps do not take into account phasing in policies. For more information about the 2014 Student Assignment and Boundaries Review Process, visit https://dme.dc.gov.

Ipsos Global @dvisor wave 67 was conducted from February 23 - March 6, 2015. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo; EI: Political Heat Map; EK: Tech Tracker.

FEMA provides access to the National Flood Hazards Layer (NFHL) through web mapping services. The maps depict effective flood hazard information and supporting data. The primary flood hazard classification is indicated in the Flood Hazard Zones layer.The NFHL layers include:Flood hazard zones and labelsRiver Miles MarkersCross-sections and coastal transects and their labelsLetter of Map Revision (LOMR) boundaries and case numbersFlood Insurance Rate Map (FIRM) boundaries, labels and effective datesCoastal Barrier Resources System (CBRS) and Otherwise Protected Area (OPA) unitsCommunity boundaries and namesLeveesHydraulic and flood control structuresProfile and coastal transect baselinesLimit of Moderate Wave Action(LiMWA)Not all effective Flood Insurance Rate Maps (FIRM) have GIS data available. To view a list of available county and single-jurisdiction flood study data in GIS format and check the status of the NFHL GIS services, please visit the NFHL Status Page.Preliminary & Pending National Flood Hazard LayersThe Preliminary and Pending NFHL dataset represents the current pre-effective flood data for the country. These layers are updated as new preliminary and pending data becomes available, and data is removed from these layers as it becomes effective.For more information, please visit FEMA's website.To download map panels or GIS Data, go to: NFHL on FEMA GeoPlatform.Preliminary & Pending DataPreliminary data are for review and guidance purposes only. By viewing preliminary data and maps, the user acknowledges that the information provided is preliminary and subject to change. Preliminary data are not final and are presented in this national layer as the best information available at this time. Additionally, preliminary data cannot be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove preliminary data once pending data are available.Pending data are for early awareness of upcoming changes to regulatory flood map information. Until the data becomes effective, when it will appear in FEMA's National Flood Hazard Layer (NFHL), the data should not be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove pending data once effective data are available.To better understand Preliminary data please see the View Your Community's Preliminary Flood Hazard Data webpage.FEMA GeoPlatformFEMA's GIS flood map services are available through FEMAs GeoPlatform, an ArcGIS Online portal containing a variety of FEMA-related data.To view the NFHL on the FEMA GeoPlatform go to NFHL on FEMA GeoPlatform.To view the Preliminary and Pending national layers on the FEMA Geoplatform go to FEMA's Preliminary & Pending National Flood Hazard Layer.Technical InformationFlood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the NFHL with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy.The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. United States Geological Survey (USGS) imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information.The NFHL data are from FEMA’s FIRM databases. New data are added continually. The NFHL also contains map changes to FIRM data made by LOMRs.The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications.Organization & DisplayThe NFHL is organized into many data layers. The layers display information at map scales appropriate for the data. A layer indicating the availability of NFHL data is displayed at map scales smaller than 1:250,000, regional overviews at map scales between 1:250,000 and 1:50,000, and detailed flood hazard maps at map scales of 1:50,000 and larger. The "Scalehint" item in the Capabilities file for the Web Map Service encodes the scale range for a layer.In addition, there are non-NFHL datasets provided in the GIS web services, such as information about the availability of flood data and maps, the national map panel scheme, and point locations for LOMA and LOMR-Fs. The LOMA are positioned less accurately than are the NFHL data.Layers in the public NFHL GIS services:Use the numbers shown below when referencing layers by number.0. NFHL Availability1. LOMRs2. LOMAs3. FIRM Panels4. Base Index5. PLSS6. Toplogical Low Confidence Areas7. River Mile Markers8. Datum Conversion Points9. Coastal Gages10. Gages11. Nodes12. High Water Marks13. Station Start Points14. Cross-Sections15. Coastal Transects16. Base Flood Elevations17. Profile Baselines18. Transect Baselines19. Limit of Moderate Wave Action20. Water Lines21. Coastal Barrier Resources System Area22. Political Jurisdictions23. Levees24. General Structures25. Primary Frontal Dunes26. Hydrologic Reaches27. Flood Hazard Boundaries28. Flood Hazard Zones29. Submittal Information30. Alluvial Fans31. Subbasins32. Water Areas

Abstract The dataset was derived by the Bioregional Assessment Programme from multiple datasets. The source dataset is identified in the Lineage field in this metadata statement. The processes …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from multiple datasets. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset contains extractions of selected Assest and Elements formatted/manipulated to facilitate requested presentation in report maps. Manipulations include principally a) clipping selected element/asset polygons to the SSB PAE and extracting centroids of small element/asset polygons to enable representation on small scale report maps with point marker symbols. Purpose To enable customised symbolisation on BA report map images Dataset History Selected economic elements were taken from the source dataset and geometry changed to facilitate representation in report maps. Ie polygon elements too small to be discernible at the report map scale had their polygon centroids extracted so they could be symbolised with point marker symbols. Also the location of Thompson's Creek dam was located in Google earth and this was added as a feature to the existing dam assets as the authour wanted this shown even though it was not included in this version of the Assets database. Dataset Citation Bioregional Assessment Programme (2016) SSB Economic asset mapping 20160118. Bioregional Assessment Derived Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/1da97a0f-6be6-4550-9c40-d73241c3df79. Dataset Ancestors Derived From Asset database for the Sydney Basin bioregion on 18 December 2015 Derived From NSW Wetlands Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013 Derived From Travelling Stock Route Conservation Values Derived From State Environmental Planning Policy no. 26 - Littoral Rainforest 19860101 Derived From Surface Water Entitlements in Sydney sliver between different PAEs NSW Office of Water 20150717 Derived From Geofabric Surface Network - V2.1 Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From SSB Preliminary Assessment Extent inputs draft Derived From Groundwater Entitlement NSW Office of Water 20150526 PersCom removed Derived From Birds Australia - Important Bird Areas (IBA) 2009 Derived From Bioregional Assessment areas v04 Derived From Key Environmental Assets - KEA - of the Murray Darling Basin Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129 Derived From Gippsland Project boundary Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004 Derived From Natural Resource Management (NRM) Regions 2010 Derived From SSB Preliminary Assessment Extent v01 Derived From Sydney Catchment Authority Water Licences and Approvals Package May 2012 Derived From GW Economic Elements Sydney Basin 20150730 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From NSW Office of Water SW Offtakes Processed - North & South Sydney, v3 12032014 Derived From Operating Coal Mines in New South Wales as on 24 July 2013 Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Threatened migratory shorebird habitat mapping DECCW May 2006 Derived From Native Vegetation Management (NVM) - Manage Benefits Derived From GEODATA TOPO 250K Series 3 Derived From Old Growth Forest Mapping Broad, Central, 1996. VIS_ID 4122 2015 20150116 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From Macquarie Perch NSW DPI Fisheries 20150313 Derived From Geological Provinces - Full Extent Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Commonwealth Heritage List Spatial Database (CHL) Derived From Cumberland Subregion BIO Map Biodiversity Corridors of Regional Significance 20150804 Derived From NSW SW Share Components NSW Office of Water 20150717 Derived From An Estuarine Inventory for New South Wales, Australia VIS_ID 2224 20100723 Derived From Atlas of Living Australia NSW ALA Portal 20140613 Derived From Bioregional Assessment areas v03 Derived From Purple Spotted Gudgeon NSW DPI Fisheries 20150317 Derived From Identification of Culturally Significant Groundwater Dependent Ecosystems CSIRO 2010 Derived From Southeast NSW Native Vegetation Classification and Mapping - SCIVI VIS_ID 2230 20030101 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From State Environmental Planning Policy no. 14 - Coastal Wetlands 19891027 Derived From NSW Office of Water Surface Water Offtakes - North & South Sydney v1 24102013 Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From SW Economic Elements Sydney Basin 20150730 Derived From Australia World Heritage Areas Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Illawarra Region BIO Map - Core Areas 20150430 Derived From NSW Office of Water identified GDEs Derived From NSW Office of Water SW Offtakes Processed - North & South Sydney, v2 07032014 Derived From National Groundwater Management Zones BOM 20150730 Derived From Illawarra Region BIO Map Corridors 20150430 Derived From Cumberland subregion BIO Map Core Areas 20150804 Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From Fitzroy Falls Spiny Crayfish NSW DPI Fisheries 20150316 Derived From Australia - Species of National Environmental Significance Database Derived From Map of Critically Endangered Ecological Communities NSW Version 3 20150925 Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From Victoria - Seamless Geology 2014 Derived From Asset database for the Sydney Basin bioregion on 03 August 2015 Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From NSW Wild Rivers Office of Environment and Heritage (OEH) 20091001

The opportunity map 'increasing spatial efficiency for mixed environments' visualizes Flanders-wide information about suitable locations for increasing spatial efficiency, as referred to in the strategic vision of the Spatial Planning Policy for Flanders (BRV). The opportunity map is a knowledge base that can be used for policy preparation. From a cartographic perspective, the opportunity map shows the suitability of a location for an increase in yield within the existing space requirement and exclusively from a Flemish perspective. It is evident that use must be done in combination with other policy elements from the BRV. In addition, every initiative to increase returns must be tailored to the environment, taking into account the local context, quality of the living environment, and so on. The opportunity map makes an abstraction of legal-planning zoning zones and protections (or determinations) of heritage values. This opportunity map applies to the (re)development of mixed environments. This means existing land use in which a mix of living, working, facilities, etc. is realized. The opportunity map cannot be used for business parks or other 'mono-functional' locations, or special functions (for example a power plant, a motocross terrain, etc.). This opportunity map shows potentials via a score on a quasi-continuous scale. The scoring is done on the basis of a GIS-processing, in which different spatial criteria are combined. These spatial criteria are a translation of a well-considered selection of development principles from the BRV strategic vision that are important for the choice of location for mixed environments for living, working and facilities. These development principles have been combined in an assessment diagram that forms the guideline for drawing up the opportunity map. The opportunity map 'increasing spatial efficiency for mixed environments' has been drawn up in the form of a grid-shaped GIS file. Initially, all used map layers are surprised to a resolution of 10x10m and combined with each other. Nevertheless, some important input layers have a less fine level of detail. Therefore, in a final processing step, the opportunity map is reduced to a resolution of 1ha by averaging the original grid cells drawn up at 10x10m resolution. The final opportunity map can therefore help to make a statement about increasing the spatial yield within the existing space requirement and this at a detailed level of 1ha. All details about the method of drawing up this product can be consulted in the technical report: "Poelmans Lien, Hambsch Lorenz, Willems Peter, Mertens Geert (2022), Opportunity map for increasing spatial efficiency & spatially expanding opportunity map for mixed environments - update 2021 - technical description " that you can find at https://archief.onderzoek.milieu.vlaanderen.be/Onderzoek-3212955 This opportunity map was compiled using the most recent and best available map layers available at the beginning of 2021. Nevertheless, the most dominant input data (particularly that of the public transport hubs and facilities) reflect the situation in 2019. It is evident that an opportunity map based on evolving parameters is itself dynamic in nature. For example, an update can also take into account future nodes, a changed valuation of elements in the physical system, a changing range of facilities or public transport, etc. This opportunity map replaces an older version with status 2015 (published in 2021).

This map is a compilation of seven published Soil and Land Resource products which contain baseline natural resource information for the:

• Hawkesbury-Nepean catchment
• Liverpool Plains catchment
• Merriwa Plateau
• Moree Plains
• Murray catchment
• Australian Capital Territory
• Hunter Region

These products were undertaken to enhance knowledge of soils, landscapes and physical constraints to land use in the urban and rural environment. The information will assist in informed decision making, planning and environmental modelling throughout the catchments. The Soil and Land Resource mapping for the Merriwa Plateau and Moree Plains were funded to especially improve existing soil landscape information so more accurate Land and Soil Capability (LSC) and Soil Fertility information would be available to upgrade future Biophysical Strategic Agricultural Land (BSAL) mapping under NSW Strategic Regional Land Use Policy (SRLUP).

One thousand, one hundred and seventeen map units have been described in this combined Soil and Land Resource product. Each soil landscape unit is an inventory of soil and landscape information with relatively uniform land management requirements, allowing major soil and landscape qualities and constraints to be identified. Soils are described using the Australian Soil Classification and the Great Soil Groups systems.

Online Maps: Part of this area is also covered by other soil mapping products, see the soil map index in eSPADE. eSPADE contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.

Reference: Office of Environment and Heritage, 2018, Soil and Land Resources of Central and Eastern NSW, Version 3, NSW Office of Environment and Heritage, Sydney.

This dataset contains ocean sediment thickness contours in 200 meter intervals for water depths ranging from 0 – 18,000 meters. These contours were derived from a global sediment thickness grid distributed by the National Geophysical Data Center (NGDC). The NGDC grid was compiled from various existing sediment thickness maps and drilling cores, and has a cell resolution of 5 arc seconds. Sediment thickness data is typically acquired through two methods. Seismic (or sub-bottom) profile technologies rely on powerful pulses of low-frequency sound which penetrate the substrate and return information about substrate thickness, character, and stratification. The data are collected along transect lines and require interpolation to create comprehensive maps. Sediment thickness is also determined by direct measurement through coring, which provides more detailed information but only at discrete sites. Coring data can also be interpolated to form area maps, and to help interpret the seismic data. To support coastal and ocean planning and other activities pursuant to the Energy Policy Act, Coastal Zone Management Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act.View Dataset on the Gateway

This dataset contains ocean sediment thickness contours in 200 meter intervals for water depths ranging from 0 – 18,000 meters. These contours were derived from a global sediment thickness grid distributed by the National Geophysical Data Center (NGDC). The NGDC grid was compiled from various existing sediment thickness maps and drilling cores, and has a cell resolution of 5 arc seconds. Sediment thickness data is typically acquired through two methods. Seismic (or sub-bottom) profile technologies rely on powerful pulses of low-frequency sound which penetrate the substrate and return information about substrate thickness, character, and stratification. The data are collected along transect lines and require interpolation to create comprehensive maps. Sediment thickness is also determined by direct measurement through coring, which provides more detailed information but only at discrete sites. Coring data can also be interpolated to form area maps, and to help interpret the seismic data. To support coastal and ocean planning and other activities pursuant to the Energy Policy Act, Coastal Zone Management Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act.View Dataset on the Gateway

For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/2cd0c5e9-83b2-49a9-8c3e-79675ffd18bfSIS SOIL:The new Irish Soil Information System concludes a 5 year programme, supported by the Irish Environmental Protection Agency (STRIVE Research Programme 2007-2013) and Teagasc, to develop a new 1:250,000 scale national soil map (https://soils.teagasc.ie). The Irish Soil Information System adopted a unique methodology combining digital soil mapping techniques with traditional soil survey application. Developing earlier work conducted by An Foras Talúntais, the project generated soil-landscape models for previously surveyed counties. These soil-landscape (‘soilscape’) models formed the basis for training statistical ‘inference engines’ for predicting soil mapping units, checked during field survey. 213 soil series are identified, each with differing characteristics, having contrasting environmental and agronomic responses. Properties were recorded in a database able to satisfy national and EU policy requirements. The Irish soil map and related soil property data will also serve public interest, providing the means to learn online about Irish soil resources. Use the Symbology layer file 'SOIL_SISNationalSoil.lyr' based on Value Field 'Association_Unit'. SIS SOIL DRAINAGE:In Ireland, soil drainage category is considered to have a predominant influence on soil processes (Schulte et al., 2012). The maritime climate of Ireland drives wet soil conditions, such that excess soil moisture in combination with heavy textured soils is considered a key constraint in relation to achieving productivity and environmental targets. Both soil moisture content and the rate at which water drains from the soil are critical indicators of soil physical quality and the overall functional capacity of soil. Therefore, a natural extension to the Irish Soil Information System included the development of an indicative soil drainage map for Ireland. The soil subgroup map was used to develop the indicative drainage map, based on diagnostic criteria relating to the subgroup categorization. Use the Symbology layer file 'SOIL_SISSoilDrainage.lyr' based on Value Field 'Drainage'. SIS SOIL DEPTH: Soil depth is a measure of the thickness of the soil cover and reflects the relationship between parent material and length of soil forming processes. Soil depth determines the potential rooting depth of plants and any restrictions within the soil that may hinder rooting depth. Plants derive nearly 80 per cent of their water needs from the upper part of the soil solum, i.e. where the root system is denser. The rooting depths depend on plant physiology, type of soil and water availability. Generally, vegetables (beans, tomatoes, potatoes, parsnip, carrots, leek, broccoli, etc.) are shallow rooted, about 50–60 cm; fruit trees and some other plants have medium rooting depths, 70–120 cm and other crops such as barley, wheat, oats, and maize may have deeper roots. Furthermore, rooting depths vary according to the age of the plants. The exact soil depth is difficult to define accurately due to its high variability across the landscape. The effective soil depth can be reduced by the presence of bedrock or impermeable layers. Use the Symbology layer file 'SOIL_SISSoilDepth.lyr' based on Valued Field 'Depth'. SIS SOIL TEXTURE:Soil texture is an important soil characteristic that influences processes such as water infiltration rates, rootability, gas exchanges, leaching, chemical activity, susceptibility to erosion and water holding capacity. The soil textural class is determined by the percentage of sand, silt, and clay. Soil texture also influences how much water is available to the plant; clay soils have a greater water holding capacity than sandy soils. Use the Symbology layer file 'SOIL_SISSoilTexture.lyr' based on Value Field 'Texture'. SIS SOIL SOC:In the previous national soil survey conducted by An Foras Taluntais, 14 counties were described in detail with soil profile descriptions provided for the representative soil series found within a county. Soil samples were taken at each soil horizon to a depth of 1 meter and analyses performed for a range of measurements, including soil organic carbon, texture, cation exchange capacity, pH; however in most cases no bulk density measurements were taken. This meant that while soil organic carbon concentrations were available this could not be related to a stock for a given soil series. In 2012/2013, 246 profile pits were sampled and analysed as part of the Irish Soil Information System project to fill in gaps in the description of representative profile data for Ireland. Use the Symbology layer file 'SOIL_SISSoilSOC.lyr' based on Value Field 'SOC'.

The effect of clouds and aerosols on regional and global climate is of great importance. Two longstanding elements of the NASA climate and radiation science program are field studies incorporating airborne remote-sensing and in-situ measurements of clouds and aerosols. is Data products include: (1) cloud profiling with 30-m vertical and 200-m horizontal resolution at 1064 nm, 532 nm, and 355 nm;(2) aerosol, boundary layer, and smoke plume profiling;(3) optical depth estimates (column and by layer); and(4) extinction profiles. The CPL provides information to permit a comprehensive analysis of radiative and optical properties of optically thin clouds. Data users are asked to read and abide by the CPL data usage policy found at [http://virl.gsfc.nasa.gov/cpl/cpl_register.htm].

These maps display the areas throughout the city that were impacted by the new school attendance zones as of SY2015-16. The area is considered impacted if it was reassigned to a different school or reassigned to just one of its current school options (previously some areas had rights to multiple schools due to school closures). These maps do not take into account phasing in policies. For more information about the 2014 Student Assignment and Boundaries Review Process, visit https://dme.dc.gov.

The cultural-historical value map has been adopted as a policy framework by the municipal council by decision of 18-03-2008. The city council has changed the cultural-historical value map by decision of 29-11-2022. In 2022, a new section will be added to the cultural-historical value map, consisting of Landscapes, Settlements and Elements (line, point and area). The sub-themes Urbanism & Cityscapes, Road & Water Structure and Landscape & Green can be found under 'Historical urban planning and heritage'. These are older parts of the cultural-historical value map, in addition to themes such as monumental trees, national and municipal monuments and the archaeological expectation areas. For more information about the content of these themes, an explanation of the themes can be found below. Zie ook de webapp via https://experience.arcgis.com/experience/7b7618385ff14d96bd80a1f12ca530c4/page/Page/ Inleiding Op 29 November 2022, the cultural-historical value map of Eindhoven will be updated. The map serves as a policy framework for spatial developments in the city to take into account the cultural history of Eindhoven. The map consists of two partial value maps, namely the value map of historical cultural landscape and the value map of historical urban development and built heritage. Value map of historical cultural landscape The value map of historical cultural landscape indicates and values ​​the historical landscape areas (including historical settlement locations) and elements (landscape elements of infrastructure, water management, rising greenery, religion and funerary heritage and relief), which are important for the recognisability of the historical development of Eindhoven. This value map is the result of two studies by RAAP Archeologisch Adviesbureau BV, namely: - Rapport Buitengebied: 'The green zoom of Eindhoven; a cultural-historical value map of the outer area of ​​Eindhoven, as well as some green parts of the built-up area'; - Rapport urban area: 'The landscape under the city. A cultural-historical investigation into the relics of the pre-urban landscape in the urban area of ​​the municipality of Eindhoven. The value map of the value maps of these two studies indicates the medium, high and very high valued landscapes/settlements in the outlying area, the highly valued landscapes/settlements of the urban area and the indicated medium, high and very high valued elements in the outlying areas and in the urban area; Appreciation Attn. landscapes and settlements, the valuation of the historic cultural landscape took place by assessing each mapped sub-area on three criteria: 1. the soundness of the current topography compared to the situation around 1836-1843/1850 or the situation at the time of the (heather) ) reclamation, i.e. type of land use, allotment, plotting, etc.; 2. the soundness of the current physiognomy compared to the situation 1836-1843/1850 or the situation at the time of the completed (heath) reclamation (various moments from the first half of the 20th century), i.e. the openness or closedness of the landscape (presence or absence of ascending greenery), the presence of buildings, etc.; 3. the presence of special features, as a result of which the area should receive a higher rating than it would receive on the basis of the other two criteria. The following criteria have been used for the elements: https://data.eindhoven.nl/assets/theme_image/CHW_criteria.png" alt=""> Value map of historical urban development and built heritage The value map of historical urban development and built heritage indicates the protected national - and municipal monuments, protected town and village views, municipal archaeological monuments, cultural-historically valuable objects, historically valuable works of art, historic roads and waterways, historic urban structures and valuable landscaped greenery and trees, which are important for the recognizability of the historical development of Eindhoven. Valuation To determine which areas and structures (in addition to those already protected) can be qualified as historically valuable, selection criteria have been used that are derived from the criteria that apply to monuments. These criteria are: 1. city-historical significance: as an expression of or source of knowledge for the historical development of the city in social, economic, administrative, religious or cultural terms; 2. architectural and/or urban significance: representative of a certain building style, building type or technique or as an expression of an urban development or architectural concept; 3. situational value: historical-spatial, structural, aesthetic and/or functional cohesion of geomorphology, allotment, buildings, road structure, public space, green elements and/or water; 4. authenticity: recognisability and/or intactness of the original characteristic. The rating is the result of a combination of criteria. A gradation was not chosen because the weight of the various criteria would then not be clear. For example, what has lost its integrity can still be important from a cultural-historical point of view. In the descriptions, a reference to these criteria indicates in what respect an area or structure is of cultural-historical value. The CHW map as a policy framework The cultural-historical value map is a policy framework that indicates where which cultural-historical values ​​must be taken into account in development visions, zoning plans, plan development and restructuring and when formulating aesthetics criteria. The values ​​described provide guidance for zoning plan regulations, amendments to zoning plans or the spatial substantiation of an environmental permit. Decision-making on area development, layout or restructuring will be partly based on a historical analysis and valuation. The results of this are processed in the area frameworks. The designation on the card therefore has an attention value. Development visions and spatial plans in which cultural-historical values ​​are at stake require further analysis. The analysis functions as an impact report and the frameworks for area development or design of public space will indicate to what extent and in what way the described values ​​can be incorporated and how certain characteristics will be dealt with. In expected archaeological areas, the zoning plan regulations will include the condition that development can only take place after archaeological research has been carried out. The costs of this should form part of the planning according to the principle “the disruptor pays”. In some cases, the presence of an archaeological monument may mean that it must be preserved and incorporated. Preservation of cultural-historical qualities will also have an effect on aesthetics supervision, because the described characteristics of the various areas will be adopted in the area-oriented aesthetics criteria. The cultural-historical value map is not a static document, but will be updated regularly. Values ​​map historical cultural landscape manual The landscapes and settlements shown on the map can be divided into the following landscape types: https://data.eindhoven.nl/assets/theme_image/CHW_manual.png" alt=""> following matters: infrastructure, water management, ascending greenery, religion and funerary heritage and relief. Value map of historical urban planning and built heritage The cultural-historical values ​​are divided into various themes, which are shown as separate layers on the map (see legend). The areas are linked via a code letter and a serial number to a database of descriptions and images. This data can be called up on the digital map in GeoFundament. The map is divided into the following layers. - Urban structures (code letter S): this layer includes both the historic urban structure and the buildings related to historic roads. Protected town and village views designated under the Monuments Act can also be found here (code letter BS). In addition, the rivers, streams and canals are included. - Landscape and green structures (code letter L): this layer also includes agricultural settlements. - Archaeological Forecast Areas (code letter A): this layer contains the areas that appear on the Archaeological Forecast Map. The areas that have been surveyed, the areas that have not been surveyed and the archaeological monuments are marked differently. Apart from this dataset, the following can also be found on the portal: Monumental trees (can be filtered within https://data.eindhoven.nl/explore/dataset/trees/information/) and National and municipal monuments (see https://data .eindhoven.nl/explore/dataset/monuments/information/)