Tag

maps

Showing 501 - 520 out of 538 datasets
  • Physical Features - Elevation contours from DataSF.org

    Offsite — Physical Features – Elevation contours with a five-foot interval for San Francisco mainland and Treasure Island/Yerba Island Based on San Francisco Elevation Datum Category: geography Format: shapefile Agency name: Department of Technology
  • Physical Features - Elevation contours - WGS from DataSF.org

    Offsite — Physical Features – Elevation contours – WGS Category: geography Format: shapefile Agency name: Department of Technology
  • Public SF Facilities - All from DataSF.org

    Offsite — San Francisco Facilities – City-Owned, City-Leased and other designated Critical Facilities (hospitals, shelters, et al.). Each point represents an active facility according the Real Estate Information System (REIS), formerly ICPD). The primary key, [FACILITY_I], is the link back to the REIS table CITYFACILS. The REIS serves as the foundation for information regarding ...
  • Wikimapia API

    Offsite — Wikimapia API is a system that allows you to receive data from Wikimapia’s maps. You can easily integrate Wikimapia Geo Data into your external application or web site. And it’s all free. “We provide you with free access to Wikimapia DB, collected by our contributors, with the aim to help the geographic community to use this data not only on Wikimapia site, but through ...
  • Eventful Concert and Event API

    Offsite — Eventful is the world’s largest collection of events, taking place in local markets throughout the world, from concerts and sports to singles events and political rallies. It is built upon a unique, open platform that enables partners and web applications to leverage Eventful’s data, features and functionality via the Eventful API.
  • Australian Gas Light Company maps from data.gov.au

    Free Download — A 8.70KB dataset from data.gov.au. Gas mains laid in areas including City of Sydney to Walsh Bay, Darling Harbour to Pyrmont, Ultimo, Redfern, Woolloomooloo, Darlinghurst and Chippendale, 1870.
  • Sydney maps 1917 from data.gov.au

    Free Download — A 394.67KB dataset from data.gov.au. Produced by the NSW Dept. of Lands in 1917, maps of municipalities of Annandale, Ashfield, Balmain, Botany, Canterbury, Darlington, The Glebe, Hurstville, Kogarah, Lane Cove, Leichhardt, Marrickville, Mascot, Mosman, Newtown, North Sydney, Petersham, Randwick, Rockdale, Willoughby. Shows reclamations, special leases, resumptions and ...
  • Sydney bond store maps 1894 from data.gov.au

    Free Download — A 12.82KB dataset from data.gov.au. 26 maps of bond stores and warehouses around Port Jackson and Darling Harbour. The goods entering into harbours remained in the bond stores until importers paid the duty on goods. Published in 1894.
  • First Fleet maps from data.gov.au

    Free Download — A 13.31KB dataset from data.gov.au. Maps of early Sydney and the Pacific produced by members of the First Fleet.
  • Digitised maps from data.gov.au

    Free Download — A 99.79KB dataset from data.gov.au. A collection of digitised out of copyright maps from the collections of the State Library of Queensland including early maps of the Pacific region, Queensland and Brisbane.
  • Maps of the Southern Hemisphere 16th-18th centuries from data.gov.au

    Free Download — A 46.86KB dataset from data.gov.au. A selection of over 60 rare maps from the 16th to the 18th centuries which chart islands and continents of the Southern Hemisphere, originally exhibited in the State Library of NSW’s Crux exhibition in 2000.
  • Fire insurance maps, Sydney block plans, 1919-1940 from data.gov.au

    Free Download — A 81.52KB dataset from data.gov.au. Fire and Accident Underwriters Association detailed survey maps of Sydney city block plans, 1919-1940. These maps show streets and buildings, their owners or occupiers, the building structures and materials, machinery in commercial usage, and fire protection facilities.
  • Real Estate Maps from data.gov.au

    Free Download — A 187.51KB dataset from data.gov.au. The State Library of Queensland has a unique collection of original maps and plans created by real estate firms. It includes more than 1000 maps from the 1850s to the mid 1900s. 165 of these have been digitised and are included in this dataset. Estate maps can give information about land subdivisions, including how the […]
  • Agricultural Commodities for 1996/97 (linked to profit function surfaces) from data.gov.au

    No Data — A 756.00KB dataset from data.gov.au. This dataset contains a national grid, of roughly 1km cell size, showing the major forms of agricultural commodity production. The forms of commodity production, classified in the land use map as either dryland or irrigated, include: Agroforestry, Almonds, Apples, Apricots, Avocados, Bananas, Barley, Beef, Canola, Cereals Ex Rice, ...
  • Mean annual deep drainage (mm / y) in the pre 1788 scenario from data.gov.au

    No Data — A 1.06MB dataset from data.gov.au. Definition:Mean annual deep drainage. This is the amount of water draining below the root zone.Interpretation:Significant deep drainage is confined to irrigation areas, and wet areas where rainfall exceeds potential evaporation at least for some months of the year: the southeast (including Tasmania), over the eastern ranges and in the ...
  • Mean annual tranpiration from the plant canopy for the pre 1788 scenario from data.gov.au

    No Data — A 991.00KB dataset from data.gov.au. :Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the effects of water limitation in most areas of the continent. Both the annual mean and seasonal pattern broadly resemble the ...
  • Mean annual tranpiration from the plant canopy for the present day scenario from data.gov.au

    No Data — A 1.12MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...
  • Mean tranpiration in April from the plant canopy for the pre 1788 scenario from data.gov.au

    No Data — A 1.10MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...
  • Mean tranpiration in August from the plant canopy for the pre 1788 scenario from data.gov.au

    No Data — A 1.12MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...
  • Mean tranpiration in August from the plant canopy for the present day scenario from data.gov.au

    No Data — A 1.12MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...