Natural Area Coding Based Postcode Scheme
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Identifying Locations of Social Significance: Aggregating Social Media Content to Create a New Trust Model for Exploring Crowd Sourced Data and Information
Identifying Locations of Social Significance: Aggregating Social Media Content to Create a New Trust Model for Exploring Crowd Sourced Data and Information Al Di Leonardo, Scott Fairgrieve Adam Gribble, Frank Prats, Wyatt Smith, Tracy Sweat, Abe Usher, Derek Woodley, and Jeffrey B. Cozzens The HumanGeo Group, LLC Arlington, Virginia, United States {al,scott,adam,frank,wyatt,tracy,abe,derek}@thehumangeo.com Abstract. Most Internet content is no longer produced directly by corporate organizations or governments. Instead, individuals produce voluminous amounts of informal content in the form of social media updates (micro blogs, Facebook, Twitter, etc.) and other artifacts of community communication on the Web. This grassroots production of information has led to an environment where the quantity of low-quality, non-vetted information dwarfs the amount of professionally produced content. This is especially true in the geospatial domain, where this information onslaught challenges Local and National Governments and Non- Governmental Organizations seeking to make sense of what is happening on the ground. This paper proposes a new model of trust for interpreting locational data without a clear pedigree or lineage. By applying principles of aggregation and inference, it is possible to identify locations of social significance and discover “facts” that are being asserted by crowd sourced information. Keywords: geospatial, social media, aggregation, trust, location. 1 Introduction Gathering geographical data on populations has always constituted an essential element of census taking, political campaigning, assisting in humanitarian disasters/relief, law enforcement, and even in post-conflict areas where grand strategy looks beyond the combat to managing future peace. Warrior philosophers have over the millennia praised indirect approaches to warfare as the most effective means of combat—where influence and information about enemies and their supporters trumps reliance on kinetic operations to achieve military objectives. -
ZANCO Journal of Pure and Applied Sciences Utilizing Geographic
ZANCO Journal of Pure and Applied Sciences The official scientific journal of Salahaddin University-Erbil ZJPAS (2016), 28 (5); 163-111 Utilizing Geographic Coordinates For Postcode Design Haval A. Sadeq Surveying Engineering Department, College of Engineering, University of Salahaddin -Erbil, Erbil, Kurdistan Region, Iraq A R T I C L E I N F O A B S T R A C T Article History: Finding addresses has become a major challenge because of population growth Received: 03/06/2016 and its corresponding effect on city expansion. The use of postcodes is essential to Accepted: 16/08/2016 save time and effort in reaching a destination. This research focuses on the use of Published: 82/11/2016 geographical coordinates to automatically generate postcodes in defining Keywords: addresses. The proposed approach is based on the use of cadastral maps. The Navigation, postcode label in cadastral maps is processed by using image processing tools. The Car Navigation, proposed method has been applied on cadastral map to give postcode for each Global Navigation Satellite parcel. The proposed method has also been applied to the forest map to provide a System (GNSS), code for each tree. The obtained post code can be easily integrated into navigation Cadastral Map software, and people can use the code to reach their destination. The postcode in Corresponding Author: this system is suggested to be used alone without a need for building number or Haval A. Sadeq street name. Email: [email protected] Postcode is important for people and tourists to 1. INTRODUCTION reach a destination, and it can be useful for Finding an address is considered as a delivering utility services, such as electricity daily issue. -
What3words Geocoding Extensions and Applications for a University Campus
WHAT3WORDS GEOCODING EXTENSIONS AND APPLICATIONS FOR A UNIVERSITY CAMPUS WEN JIANG August 2018 TECHNICAL REPORT NO. 315 WHAT3WORDS GEOCODING EXTENSIONS AND APPLICATIONS FOR A UNIVERSITY CAMPUS Wen Jiang Department of Geodesy and Geomatics Engineering University of New Brunswick P.O. Box 4400 Fredericton, N.B. Canada E3B 5A3 August 2018 © Wen Jiang, 2018 PREFACE This technical report is a reproduction of a thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Engineering in the Department of Geodesy and Geomatics Engineering, August 2018. The research was supervised by Dr. Emmanuel Stefanakis, and support was provided by the Natural Sciences and Engineering Research Council of Canada. As with any copyrighted material, permission to reprint or quote extensively from this report must be received from the author. The citation to this work should appear as follows: Jiang, Wen (2018). What3Words Geocoding Extensions and Applications for a University Campus. M.Sc.E. thesis, Department of Geodesy and Geomatics Engineering Technical Report No. 315, University of New Brunswick, Fredericton, New Brunswick, Canada, 116 pp. ABSTRACT Geocoded locations have become necessary in many GIS analysis, cartography and decision-making workflows. A reliable geocoding system that can effectively return any location on earth with sufficient accuracy is desired. This study is motivated by a need for a geocoding system to support university campus applications. To this end, the existing geocoding systems were examined. Address-based geocoding systems use address-matching method to retrieve geographic locations from postal addresses. They present limitations in locality coverage, input address standardization, and address database maintenance. -
PROBLEMATIC TAXIWAY GEOMETRY STUDY OVERVIEW January 2018 6
DOT/FAA/TC-18/2 Problematic Taxiway Geometry Federal Aviation Administration William J. Hughes Technical Center Study Overview Aviation Research Division Atlantic City International Airport New Jersey 08405 January 2018 Final Report This document is available to the U.S. public through the National Technical Information Services (NTIS), Springfield, Virginia 22161. U.S. Department of Transportation Federal Aviation Administration NOTICE This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The United States Government assumes no liability for the contents or use thereof. The United States Government does not endorse products or manufacturers. Trade or manufacturer's names appear herein solely because they are considered essential to the objective of this report. The findings and conclusions in this report are those of the author(s) and do not necessarily represent the views of the funding agency. This document does not constitute FAA policy. Consult the FAA sponsoring organization listed on the Technical Documentation page as to its use. This report is available at the Federal Aviation Administration William J. Hughes Technical Center’s Full-Text Technical Reports page: actlibrary.act.faa.gov in Adobe Acrobat portable document format (PDF). Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. DOT/FAA/TC-18/2 4. Title and Subtitle 5. Report Date PROBLEMATIC TAXIWAY GEOMETRY STUDY OVERVIEW January 2018 6. Performing Organization Code ANG-E261 7. Author(s) 8. Performing Organization Report No. 1 2 3 Lauren Vitagliano , Garrison Canter , and Rachel Aland 9. Performing Organization Name and Address 10. -
Geocoding and Buffering Addresses in Arcgis
Spatial Structures in the Social Sciences Geocoding Geocoding and Buffering Addresses in ArcGIS INTRODUCTION Geocoding is the process of assigning location coordinates in a continuous, globlal reference system (Latitude and Longitude, for instance) to street addresses. While street addresses are an easy to understand way for us to make sense of locations in a local area there are many problems will using them for distinguishing locations in the world. Street addresses are generally considered location identifiers within a local reference system; furthermore, a street address system is often discrete, meaning it is only effective for positions that fall on the street network. For this reason the US street network has been digitized and coordinates (lat/long for instance) have been determined for the two points that specify individual line segments (smallest line segments possible). In addition to the global coordinates the street address range for each side of the street is also specified for that segment of the street network. Therefore, based on the known range of street addresses and lat/long coordinates a reasonable approximation can be made of the location of an address on a street in global coordinates. DATA and SHAPEFILES Geocodebuffer.zip can be downloaded from the S4 tutorials section of the training page (http://www.s4.brown.edu/S4/about.htm) It contains: 1) NOSchoolsaddrs.xls: Excel file of addresses of currently open schools in New Orleans 2) NOstreets.shp: a street file for all of Louisiana, the state in which you will be geocoding addresses. 3) Katrina_damage_all2.shp: a file displaying damage sustained across New Orleans from Katrina. -
Resident Hotels Partners with What3words
PRESS RELEASE 23rd April 2021 RESIDENT HOTELS PARTNERS WITH WHAT3WORDS ///times.solve.elaborate and ///many.wiser.hired are not lockdown scrabble attempts, they are unique three words guests can use to locate Resident Hotels via app, what3words In anticipation of a summer of city exploration, Resident Hotels has partnered with the global geocode app, what3words, to ensure that all guests can quickly and easily find each of The Resident hotels in London and Liverpool A recent study shows that over half of travellers (52%) spent more than an hour getting lost on their last trip.1 Now, The Resident’s guests will be able to pinpoint the exact location they need faster, more easily and without getting lost – leaving them stress free to enjoy a relaxing and comfortable stay. what3words, which has divided the world into 3mx3m squares, means the addresses are more precise than street addresses and more useful than dropping a pin in the centre of the building. This is a more reliable way of navigating and makes travelling in unfamiliar places easier and safer. 1 what3words Consumer Travel Survey based on 2,000 respondents in the UK and USA, aged 18+ Resident Hotels will be communicating each unique set of three words to guests on its pre- arrival communication, on TripAdvisor as well as being listed on the website pages for the four hotels in London and one in Liverpool. what3words is currently available in 40 languages. The app also works offline, which means that international travellers can use it to find each of The Resident hotels confidently. -
Guide to Sentinel-1 Geocoding
Issue: 1.10 Date: 26.03.2019 Guide to S-1 Geocoding Ref: UZH-S1-GC-AD Page 1 / 42 Guide to Sentinel-1 Geocoding Supported by: à Versions up to 1.05: Sentinel-1 Mission Performance Centre (S1MPC) ESRIN Contract No. CLS-DAR-DF-13-041 à Versions 1.06 through 1.10: Subcontract from Telespazio/Vega IDEAS+ Authors: David Small & Adrian Schubert Distribution List Name Affiliation Nuno Miranda ESA-ESRIN David Small UZH-RSL Adrian Schubert UZH-RSL Peter Meadows BAE Guillaume Hajduch CLS Issue: 1.10 Date: 26.03.2019 Guide to S-1 Geocoding Ref: UZH-S1-GC-AD Page 2 / 42 Document Change Record Issue Date Page(s) Description of the Change 0.5 11.07.2017 all Initial Draft Issue 0.7 14.08.2017 Extended discussion of S-1 bistatic residual correction Replaced Figure 5 with S-1 example 0.9 25.08.2017 Corrected some corrupt equation objects; formatting fixes; clari- fied sections on azimuth bistatic corrections. Various minor clar- ifications and corrections spanning the document. 0.91 01.09.2017 Minor edits in response to comments from P. Meadows (BAE) 0.92 01.09.2017 UZH logo added; small correction to Fig. 1 0.95 01.02.2018 New section 4.6.8 added, comparing “out-of-the-box” S-1 prod- uct geolocation accuracy with UZH post-processed accuracy. 1.0 13.02.2018 Edits made to address comments from ESA. 1.01 01.03.2018 Added discussion in section 4.6.8; Final edits made to text flow; added column with ALE requirement to Table 11 and references to S-1 Product Definition and two recent technical notes on pre- cise geocoding. -
3Geonames (Slides)
2/3/2019 Geocode: A Geolocation Code 3geonames dot org An open source Geocoding system for the simple communication of locations with a resolution of 1 m BRUSSELS-VOT-SHOOY 3071531887023 50.812375,4.38073 ERVIN RUCI Fosdem Université libre de Bruxelles Campus du I hit my laptop's keyboard repeatedly for fun and prot Solbosch Avenue Franklin D. Roosevelt 50 1050 Bruxelles Belgium https://3geonames.org/fosdem.html#slide=1 1/32 2/3/2019 Geocode: A Geolocation Code Location Codes From X,Y to Z M L S, Geohash, Mapcodes, Plus codes, O P C, N A C, XADDRESS, What3words, Zippr, MapTags, OkHi, Geokey, FB ... https://3geonames.org/fosdem.html#slide=1 2/32 2/3/2019 Geocode: A Geolocation Code Address Codes Alphanumeric string sets created by humans for communicating locations with other humans. https://3geonames.org/fosdem.html#slide=1 3/32 2/3/2019 Geocode: A Geolocation Code Where were we? | FRANKLIN ROOSEVELT | Brussels | | Franklin Rooseveltlaan | Brussel | | Avenue Franklin Roosevelt | Ville de Bruxelles | Permunations e.g., Avenue Franklin D. Roosevelt 50 1050 Bruxelles Belgium or Avenue Franklin Roosevelt - Franklin Rooseveltlaan 50 1050 Brussel Belgium or Avenue Franklin D. Roosevelt 50 1050 Brussels Belgium https://geocode.xyz/Avenue Franklin D. Roosevelt 50 Brussel Belgium BRUSSELS-AAX-MONTESE / BRUSSELS-NILWK / 50.81136,4.38176 https://3geonames.org/fosdem.html#slide=1 4/32 2/3/2019 Geocode: A Geolocation Code Geocode A hashing function for locations. G{Latitude,Longitude + 3 Geo Names} = Geocode. https://3geonames.org/fosdem.html#slide=1 5/32 2/3/2019 Geocode: A Geolocation Code Some Geocode use cases VOICE GEOCODING SYSTEMS POST CODE SYSTEMS INDOOR NAVIGATION The robots are coming - autonomous vehicle Better Alphanumeric string sets for the Using store names instead of geonames navigation &more unaddressed and/or ambiguously addressed world. -
Census Bureau Public Geocoder
1. What is Geocoding? Geocoding is an attempt to provide the geographic location (latitude, longitude) of an address by matching the address to an address range. The address ranges used in the geocoder are the same address ranges that can be found in the TIGER/Line Shapefiles which are derived from the Master Address File (MAF). The address ranges are potential address ranges, not actual address ranges. Potential ranges include the full range of possible structure numbers even though the actual structures might not exist. The majority of the address ranges we have are for residential areas. There are limited address ranges available in commercial areas. Our address ranges are regularly updated with the most current information we have available to us. The hypothetical graphic below may help customers understand the concept of geocoding and Census Geography (addresses displayed in this document are factitious and shown for example only.) If we look at Block 1001 in the example below the address range in red 101-199 is the range of numbers that overlap the actual individual house numbers associated with the blue circles (e.g. 103, 117, 135 and 151 Main St) on that side of the street (i.e. the Left side, note the arrow is pointing to the right on Main Street.) Based on this logic, the from address would be 101 and the to address would be 199 for this address range. Besides providing a user with the geographic location of an address the Census Geocoder can also provide all of the additional Census geographic information associated with a location, for example a Census Block, Tract, County, and State. -
Location Encoding Systems – Could Geographic Coordinates Be Replaced and at What Cost? Gogeomatics
Stefanakis, E., 2016. Location Encoding Systems – Could geographic coordinates be replaced and at what cost? GoGeomatics. Magazine of GoGeomatics Canada. March 2016. Location Encoding Systems – Could geographic coordinates be replaced and at what cost? Geocoding is the process of converting a street address into a physical location that can be described with a pair of geographic coordinates. It is estimated that over 40% of the world population is physically disconnected because of lack of a street address. But even when street addresses are available, they are very often unable to describe the location. For example, locations inside parks or large facilities (e.g., stadiums or hospitals with multiple entrances) may be hundreds of meters away from the nearest address. The use of directions (such as “behind the main building find a storehouse; deliver the package at the right door facing the park”) instead of an address has become a common practice. However, this is usually ambiguous as it relies on local knowledge, while it cannot be interpreted automatically. Figure 1. UNB Campus. Three locations in Faculty of Engineering building. The street address to all of them is that of the Main Entrance: 15 Dineen Drive, Fredericton, NB. The wide spread of smartphones and mobile devices on one hand, and the extended internet accessibility on the other, have brought back the problem of geocoding in geomatics research and development. A geographic point location described by numbers (coordinates) – the geographic latitude and longitude as well as the height or depth – can be found more easily than ever by most of the users (as the smartphone becomes default equipment; I still resist and don’t have one!). -
Smart Points of Interest (SPOI) Data Model
Smart Points of Interest (SPOI) Data Model Otakar Čerba 13. 8. 2018 Namespaces • dc (http://purl.org/dc/elements/1.1/) – Dublin Core • dcterms (http://purl.org/dc/terms/1.1/) – Dublin Core terms • foaf (http://xmlns.com/foaf/0.1/) – Friend of a Friend (FOAF) • geos (http://www.opengis.net/ont/geosparql#) – GeoSPARQL • gn (http://www.geonames.org/ontology#) – GeoNames Ontology • locn (http://www.w3.org/ns/locn) – ISA Programme Location Core Vo- cabulary • poi (http://www.openvoc.eu/poi#) – Specific URI of SPOI data resource1 • rdf (http://www.w3.org/1999/02/22-rdf-syntax-ns#) – Resource Descrip- tion Framework • rdfs (http://www.w3.org/2000/01/rdf-schema#) – Resource Description Framework Schema • skos (http://www.w3.org/2004/02/skos/core#) – Simple Knowledge Or- ganization System • xml (http://www.w3.org/XML/1998/namespace) – Extensible Markup Language Identifier Unique identifier of each POI is adopted from original data source (if it is possible) or generated as the combination of URI (http://www.sdi4apps.eu/poi/), data resource prefix (e.g. OSM) and number. Changes: • 2015-09-02 With respect to need of keeping a persistent URI (which is not kept with xsl:generate-id usage during data updating = new data 1The initial version was http://gis.zcu.cz/poi#. The new was established 2015-06-03. 1 transformation) the new ID is generated as the combination of ISO 3166- 1 alpha-2 country code, acronym of category of POI according Waze navigation data and both coordinates. • 2015-06-18: The original ID (URI+code) was changed to the more under- standable and readable form composed of URI (http://www.sdi4apps.eu/poi), ISO 3166-1 alpha-2 country code, category of POI according Waze naviga- tion data and unique code (generated randomly by the XSLT script). -
Geocoder Documentation Release 1.38.1
Geocoder Documentation Release 1.38.1 Denis Carriere Oct 12, 2018 Contents 1 Testimonials 3 2 API Documentation 5 2.1 API Overview..............................................5 2.1.1 Installation...........................................5 2.1.2 Examples............................................5 2.1.3 Error Handling.........................................7 2.2 Access to geocoder results........................................7 2.2.1 [WIP] Multiple results.....................................7 2.2.2 BBox & Bounds........................................ 10 2.3 Refactoring guide to support multiple results.............................. 11 2.3.1 Changes for OneResult ..................................... 12 2.3.2 Key changes for the Query manager.............................. 13 2.3.3 More examples......................................... 14 2.4 QGIS Field Calculator.......................................... 15 2.4.1 Output Field........................................... 15 2.4.2 Function Editor......................................... 15 2.4.3 Expression........................................... 15 3 Providers 17 3.1 ArcGIS.................................................. 17 3.1.1 Geocoding............................................ 17 3.2 Baidu................................................... 18 3.2.1 Geocoding............................................ 18 3.2.2 Reverse Geocoding....................................... 18 3.3 Bing................................................... 19 3.3.1 Geocoding...........................................