[Metadata] Description: Conservation District Subzones as of 2011. Source - DLNR/DOFAW, State Land Use Commission
cestwc/SG-subzone-poi-estate-temp dataset hosted on Hugging Face and contributed by the HF Datasets community
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A fundamental problem for the CAVM is how to characterize the transitions in vegetation that occur across the roughly 10 °C mean July temperature gradient from the tree line to the coldest parts of the Arctic. Various authors, working with different geobotanical traditions, have divided the Arctic into bioclimatic regions using a variety of terminologies. The origins of these different terms and approaches have been reviewed by the Panarctic Flora (PAF) initiative (Elvebakk 1999). The PAF and CAVM have accepted a five-subzone version of the Russian zonal approach. The subzone boundaries are somewhat modified from the phytogeographic subzones of Yurtsev (1994) based on recent information from a variety of sources. Subzone A is the coldest subzone whereas Subzone E is warmest. Warmer summer temperatures cause the size, horizontal cover, abundance, productivity and variety of plants to increase. Woody plants and sedges are absent in Subzone A, where mean July temperatures are less than 3 C. Woody plants first occur in Subzone B (mean July temperatures about 3-5 C) as prostrate (creeping) dwarf shrubs, and increase in stature to hemiprostrate dwarf shrubs (<15 cm tall) in Subzone C (mean July temperatures about 5-7 C, erect dwarf shrubs (<40 cm tall) in Subzone D (mean July temperature about 7-9 C), and low shrubs (40-200 cm tall) in Subzone E (mean July temperature about 9-12 C. At treeline, where the mean July temperatures are between 10 and 12 C, woody shrubs up to 2 meters tall are abundant. The number of plants in local floras available to form plant communities increases from fewer than 50 species in the coldest parts of the Arctic to as many as 500 species near treeline. Back to Circumpolar Arctic Vegetation Map Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: AVHRR Biomass 2010, AVHRR Biomass Trend 1982-2010, AVHRR False Color Infrared 1993-1995, AVHRR NDVI 1993-1995, AVHRR NDVI Trend 1982-2010, AVHRR Summer Warmth Index 1982-2003, Bioclimate Subzone, Coastline and Treeline, Elevation, Floristic Provinces, Lake Cover, Landscape Physiography, Landscape Age, Substrate Chemistry, Vegetation References Elvebakk, A. 1999. Bioclimate delimitation and subdivisions of the Arctic. Pages 81-112 in I. Nordal and V. Y. Razzhivin, editors. The Species Concept in the High North - A Panarctic Flora Initiative. The Norwegian Academy of Science and Letters, Oslo. Yurtsev, B. A. 1994. Floristic divisions of the Arctic. Journal of Vegetation Science 5:765-776.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_76e75d1f980113773b437a28d138d24b/view
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Various authors, working with different geobotanical traditions, have divided the Arctic into bioclimatic regions using a variety of terminologies. The origins of these different terms and approaches have been reviewed by the Panarctic Flora (PAF) initiative (Elvebakk 1999). The PAF and CAVM accepted a five-subzone version of the Russian zonal approach. The subzone boundaries are somewhat modified from the phytogeographic subzones of Yurtsev (1994). Subzone A is the coldest subzone whereas Subzone E is warmest. Warmer summer temperatures cause the size, horizontal cover, abundance, productivity and variety of plants to increase. In Alaska, woody plants occur as hemiprostrate dwarf shrubs (<15 cm tall) in Subzone C (mean July temperatures about 5-7 C, erect dwarf shrubs (<40 cm tall) in Subzone D (mean July temperature about 7-9 C), and low shrubs (40-200 cm tall) in Subzone E (mean July temperature about 9-12 C. At treeline, where the mean July temperatures are between 10 and 12 C, woody shrubs up to 2 meters tall are abundant. Back to Alaska Arctic Tundra Vegetation Map (Raynolds et al. 2006) Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes AVHRR NDVI , Bioclimate Subzone, Elevation, False Color-Infrared CIR, Floristic Province, Lake Cover, Landscape, Substrate Chemistry, Vegetation References Elvebakk, A. 1999. Bioclimate delimitation and subdivisions of the Arctic. Pages 81-112 in I. Nordal and V. Y. Razzhivin, editors. The Species Concept in the High North - A Panarctic Flora Initiative. The Norwegian Academy of Science and Letters, Oslo. Yurtsev, B. A. 1994. Floristic divisions of the Arctic. Journal of Vegetation Science 5:765-776.
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Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are 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. The dataset consists of shapefiles representing subzones of the Hunter subregion. The subzones were determined from the assement units and correspond to the main river reaches in the Hunter subregion. The subzones include Central Hunter, Hawksbury, Lower Goulburn, Lower Hunter, Macquarie-Tuggerah, Upper Goulburn and Upper Namoi. Dataset History The assesment units were grouped into the subzones for the major sections of the river catchment. They correspond to the main river reaches in the Hunter subregion. The subzones include Central Hunter, Hawksbury, Lower Goulburn, Lower Hunter, Macquarie-Tuggerah, Upper Goulburn and Upper Namoi. Dataset Citation Bioregional Assessment Programme (XXXX) HUN Reporting subzone v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/50b99012-653c-4c7f-8db8-4f5658ff39e1. Dataset Ancestors Derived From Hunter subregion boundary Derived From Natural Resource Management (NRM) Regions 2010 Derived From Bioregional Assessment areas v03 Derived From HUN Assessment Units 1000m 20160725 v02 Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From BA ALL Assessment Units 1000m 'super set' 20160516_v01 Derived From GEODATA TOPO 250K Series 3 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From BA ALL Assessment Units 1000m Reference 20160516_v01 Derived From Geological Provinces - Full Extent Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)
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The Planning and Design Code (P&D Code) Subzones are areas within a zone where there is an exceptional unique difference from the zone to warrant the need for additional policy in the P&D Code under the Planning, Development and Infrastructure Act 2016 (PDI Act 2016). P&D Code Subzones represent the spatial boundaries that provide additional guidance for development on 'what' can happen in an area.\r \r The data is updated fortnightly and can be viewed in the South Australian Property and Planning Atlas (SAPPA).
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DEM and area of each avalanche subzone used for numerical modeling.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This repository provides aggregated subzone statistics of global cities. Each dataset is computed via the Urbanity Python package. We include indicators spanning domains such as building morphology, street view imagery, urban population, and points of interest.
This dataset omits geometry information and only contains attribute properties. We release an accompanying dataset that includes geometry information.
Presents data on population projections by subzone at the following levels: geography: Alberta, Alberta Health Services (AHS) continuum zones, subzones, aggregate areas, and local areas; age: single year of age, 5-year age groups and combined ages; sex: male, female, and both. Historical population estimates (actuals) are included on the file for comparison/reference.
Potential Natural Vegetation Map Vegetation Zone and Subzone Descriptions are general descriptions for the potential vegetation types represented in the PNV map. The vegetation zones are ordered as they are in the ruleset, based on ecological amplitude, shade tolerance, and longevity of species and adheres as much as possible to the logic used to determine series in the various plant association guides used in Region 5 and Region 6 of the USDA-Forest Service. Shade-tolerant species with the narrowest environmental distribution (e.g., Sitka spruce, redwood, and mountain hemlock) are highest in the hierarchy, followed by shade-tolerant species of broader distribution (e.g., Pacific silver fir, western hemlock), followed by less shade-tolerant species that represent earlier-seral conditions in many environments (e.g., Douglas-fir, lodgepole pine).
These subzones are units of geography that are used in CMAP's transportation modeling activities. Subzone boundaries are derived from the Public Land Survey System (PLSS). This version of the CMAP modeling subzones differs from previous versions in that there are a few hundred more subzones. Previous Census-based subzone boundaries have been replaced to give all subzones PLSS-based boundaries.
Indicative polygon of subzone boundary. Subzones are divisions within a planning area which are usually centred around a focal point such as neighbourhood centre or activity node. There can be more than 10 subzones within a Planning Area. The Master Plan 20014 is a forward looking guiding plan for Singapore''s development in the medium term over the next 10 to 15 years and the planning boundaries may not coincide with existing developments for some areas. This is the version as published at URA website and OneMap.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_02cba6aeeed323b5f6c723527757c0bc/view
Indicative polygon of subzone boundary.
To facilitate urban planning, the Urban Redevelopment Authority (URA) divides Singapore into regions, planning areas and subzones.
The Planning Regions are divided into smaller Planning Areas. Each Planning Area is further divided into smaller subzones which are usually centred around a focal point such as neighbourhood centre or activity node.
The Master Plan is a forward looking guiding plan for Singapore's development in the medium term over the next 10 to 15 years and the planning boundaries may not coincide with existing developments for some areas.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_e7ae90176a68945837ad67892b898466/view
CMAP Subzones are units of geography that are used in the land use and transportation modeling activities of CMAP. Subzones are mostly derived from quarter sections, unless the subzone falls outside the CMAP planning area. This latest edition of the subzones (Subzone09) only contains one significant difference with the 2007 subzones (Subzone07). The subzones in Kendall County and Aux Sable Township (Grundy County) now are the size of quarter sections, just like the subzones in the 6 counties. Subzone09 now is comprised of 16819 subzones, up from 15401 in Subzone07.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Yukon Bioclimate Zones and Subzones Version 1.0 is derived from a 30 m Digital Elevation Model (DEM) and a set of "rule-polygons". Each rule-polygon contains attributes that define upper and lower elevation limits of the bioclimate zone/subzone(s) that occur within the rule-polygon. Rule-polygon attributes and extent is defined by field data, expert observation and/or available imagery. Where available, rule-polygons were derived from plot data representative of climate (i.e. reference site). Yukon Bioclimate Zones and Subzones Version 1.0 may be used at scales larger than 1:250,000 with caution. This mapping is deliberately extended across the ocean, lakes, glaciers, etc to facilitate intersection with a terrestrial landcover layer of the user's choice. A map legend and map for this version is published in Southern Lakes Boreal Low Subzone (BOLsl): A Field Guide to Ecosite (Environment Yukon 2017). The Yukon Bioclimate Classification and Mapping project is ongoing, and subject to periodic updates or revisions. Because of this, the onus is on the end-user to ensure that they are using the most current version of the data. Although every effort has been made to ensure the correctness of the report and spatial products, there still may be errors. Please report errors in the data to the Custodian. Distributed from GeoYukon by the Government of Yukon . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: geomatics.help@yukon.ca
From 1995, the General Household Survey (GHS) is conducted in between 2 Population Censuses as a mid-decade mini-Census.
The General Household Survey (GHS) 2015 is the third in the series of mid-decade national survey. It covers a wide range of topics and provides comprehensive data on Singapore’s population and households in between the population censuses that are conducted once in ten years.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_2781554f03047c05bd200db3b9c224e3/view
[Metadata] Description: Conservation District Subzones as of 2011. Source - DLNR/DOFAW, State Land Use Commission