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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. -
Natural Area Coding Based Postcode Scheme
International Journal of Computer and Communication Engineering Natural Area Coding Based Postcode Scheme Valentin Rwerekane1*, Maurice Ndashimye2 1 Department of Computer Science, University of Rwanda, Huye, Rwanda. 2 iThemba Labs, University of South Africa, Cape Town, South Africa. * Corresponding author. Tel.: +250 788 873 955; email: [email protected] Manuscript submitted March 7th, 2017; accepted June 23, 2017. doi: 10.177606/ijcce.6.3.161-172 Abstract: Traditionally, addresses were used to direct people and helped in social activities; nowadays addresses are used in a wide range of applications, such as automated mail processing, vehicles navigation, urban planning and maintenance, emergency response, statistical analyses, marketing, and others, to ensure necessities induced by new information technologies and facility developments. On top of addresses primary use, postcodes systems were developed to comprehensively provide a variety of public and commercial services. Postcode being an integral part of an addressing system, if well-established, a postcode system brings further social-economic development benefits to a country. This paper aims at designing a postcode based on the Natural Area Coding (NAC). The design focuses on designing a standardized postcode that can fit into any addressing scheme and be used for towns and cities of any shapes from structured cities to slums. Design considerations of a fine-grained postcode (easy for humans, efficient for computerized systems and requiring less or no maintenance over time to improve its efficiency) have proven to be difficult to realize. Therefore, in this paper a new logic is illustrated whereby these considerations are rationally handled while simultaneously allowing the postcode to give a sense of directions and distance. -
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........................................... -
Geopy Documentation Release 2.2.0
GeoPy Documentation Release 2.2.0 GeoPy Contributors Sep 26, 2021 CONTENTS 1 Installation 3 2 Geocoders 5 2.1 Specifying Parameters Once.......................................6 2.2 Geopy Is Not a Service..........................................7 2.3 Async Mode...............................................7 2.4 Accessing Geocoders...........................................7 2.5 Default Options Object..........................................8 2.6 Usage with Pandas............................................ 10 2.6.1 Rate Limiter........................................... 10 2.7 AlgoliaPlaces............................................... 14 2.8 ArcGIS.................................................. 16 2.9 AzureMaps................................................ 17 2.10 Baidu................................................... 19 2.11 BaiduV3................................................. 20 2.12 BANFrance................................................ 21 2.13 Bing................................................... 22 2.14 DataBC.................................................. 24 2.15 GeocodeEarth.............................................. 25 2.16 GeocodeFarm.............................................. 26 2.17 Geocodio................................................. 26 2.18 Geolake.................................................. 27 2.19 GeoNames................................................ 28 2.20 GoogleV3................................................. 30 2.21 HERE.................................................. -
Comparative Evaluation of Alternative Addressing Schemes
GEOProcessing 2016 : The Eighth International Conference on Advanced Geographic Information Systems, Applications, and Services Comparative Evaluation of Alternative Addressing Schemes Konstantin Clemens Technische Universitat¨ Berlin Service-centric Networking [email protected] Abstract—Alternative addressing schemes are developed to be valid postal address can only address existing entities, flexible and user friendly, while at the same time unambiguous perfectly valid AAS can reference any point on earth. and processable in an automated way. In this paper, four schemes 3) Postal addresses resolve to a variable degree of are compared to WGS84 latitude and longitude coordinates - an accuracy, as it is required. In urban centers, where addressing scheme for itself. An experiment with human users many entities are to be addressed in a small area, checks how user friendly the various schemes are and what classes multiple postal addresses address every single one of errors the users make. The results show that comprehensible and recognizable address elements are contributing towards a naturally. In some cases additional address elements user friendly address scheme. are added to, e.g., specify a lot within a mall with one house number. In rural areas, on the other hand, Keywords–Geocoding; Address Schemes; Geohash; GIS. postal addresses may refer to areas with groups of buildings. AAS uniformly resolve to a fixed accuracy I. INTRODUCTION on the entire globe. Nowadays, when referencing a location, most often postal 4) Postal addresses are composed from geographic area addresses are used. That is because postal addresses are espe- names as cities and regions. These areas usually have cially easy to use: A postal address is a compound of entities existed for a long time. -
Challenges and Opportunities for Geospatial Integration Into
JOURNAL OF APPLIED GOSPATIAL INFORMATION Vol 1 No 2 2017 http://jurnal.polibatam.ac.id/index.php/JAGI ISSN Online: ISSN Online: 2579-3608 Challenges and opportunities for geospatial integration into ‘trotro’ road travel in Ghana Gift Dumedah Kwame Nkrumah University of Science & Technology, Kumasi, Ghana *Corresponding author e-mail: [email protected] Received: October 08, 2017 Abstract Accepted: December 04, 2017 Travel routing is vital for an efficient delivery of public and private services and Published: December 05, 2017 the movement of people and goods. In Ghana, the major nature of travel routing is through the ‘trotro’ system. The trotro system uses an automobile to move people Copyright © 2017 by author(s) and and goods along a prescribed travel route, with locally known stops where people Scientific Research Publishing Inc. get on and off the vehicle. The trotro system is significant because Ghana's road network and street addressing are imperfectly mapped. Thus, this paper critically Open Access evaluates the research challenges and opportunities for the development of an integrated trotro geographic addressing system. The widespread trotro address assignment and the availability of geolocation technology on mobile phones, make the integrated trotro geographic addressing framework an inexpensive and a comprehensive approach. The key research questions that need investigation for the development of such an integrated geographic addressing system are identified, together with a critical review of the problem, and its research challenges and prospects. Keywords: GIS, Road travel, Trotro, Global Positioning System, GPS mapping, Travel routing 1. Introduction Ghana's road network and street addressing are growing economic and social rationale to address imperfectly mapped, with limited, inaccurate and this challenge. -
Geocoding User Queries
Geocoding User Queries Dipl.-Inf. Konstantin Clemens ORCID: 0000-0003-1892-9574 an der Fakultät VII – Wirtschaft und Management der Technischen Universität Berlin zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften - Dr.-Ing. - genehmigte Dissertation Promotionsausschuss: Tag der wissenschaftlichen Aussprache: Vorsitzender: 10. Dezember 2019 Prof. Dr. Manfred Hauswirth Gutachter: Prof. Dr. Axel Küpper Prof. Dr.-Ing. Jochen Schiller Prof. Dr.-Ing. David Bermbach Berlin 2020 Technische Universität Berlin Fakultät IV Service-centric Networking Doctoral Thesis Geocoding User Queries Author: Supervisors: Konstantin Clemens Prof. Dr. Axel Küpper Prof. Dr.-Ing. Jochen Schiller Prof. Dr.-Ing. David Bermbach iii Declaration of Authorship I, Konstantin Clemens, declare that this thesis titled, “Geocoding User Queries” and the work presented in it are my own. I conrm that: • This work was done wholly or mainly while in candidature for a research degree at this University. • Where any part of this thesis has previously been submitted for a degree or any other qualication at this University or any other institution, this has been clearly stated. • Where I have consulted the published work of others, this is always clearly attributed. • Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. • I have acknowledged all main sources of help. • Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Date: v Abstract While human users refer to locations using toponyms and addresses, computers rely on latitude and longitude coordinates, or similar, numerical encoding of location information. -
WP 9 Workshop – UPEM Presentation 1
RISIS / Working with geographical data Geographical concentration of S&T activities Nanosciences and Nanotechnologies databases Lionel Villard, Michel Revollo 1/50 Goals / Geocoding process / Identifying the areas of aggregation / Uses / Future challenges Goals and responsibility Geocoding process Key elements to geocode addresses Data pre-processing Geocoding with postal codes Geocoding with the names of toponyms City identification for Batch Geocode engine Results for patents database Other solutions Identifying the areas of aggregation Common problems The two propositions for RISIS Main families of algorithms Our approach with two sequential analysis Main advantages of this method Parameters and java interface Exemples of uses Examples of thresholds Collaborations between clusters Temporal and dynamic characteristics Future challenges 2/50 Goals / Geocoding process / Identifying the areas of aggregation / Uses / Future challenges Main goals Analyzing the distribution of S&T (here through patents and publications) activities and measuring the aggregation effects by identifying the existing geographical spaces where a high density of activity takes place. The ambition is to look at clustering effects as they happen and not by considering administrative borders that widely differ between countries. 3/50 Goals / Geocoding process / Identifying the areas of aggregation / Uses / Future challenges Responsibility of the data producers at Micro or Meso levels Due to the high level of impacts that could have some results - characterizations and indicators - data producers have a responsibility toward policy makers, firms... At the Macro level : a lack of information or a wrong affectation could be partially accepted and hide by data aggregation (e.g. group consolidation levels, aggregation on national or continental levels); At Micro or Meso levels : a lack of information or a wrong affectation can drastically affect results and the comprehension of a phenomena, and at the end the decisions based on the analysis (e.g. -
Innovative Locations and Addressing in Australia November 2015
Review of Innovative Locations and Addressing in Australia 1 November 2015 Version 1.0 Innovative Locations and Addressing in Australia COPYRIGHT All material in this publication is licensed under the Creative Commons Attribution 3.0 Australia Licence, save for content supplied by third parties, and logos. Creative Commons Attribution 3.0 Australia Licence is a standard form licence agreement that allows you to copy, distribute, transmit, and adapt this publication provided you attribute the work. The full licence terms are available from creativecommons.org/licenses/by/3.0/au/ legalcode. A summary of the licence terms is available from creativecommons.org/ licenses/by/3.0/au/deed.en. DISCLAIMER While every effort has been made to ensure its accuracy, the CRCSI does not offer any express or implied warranties or representations as to the accuracy or completeness of the information contained herein. The CRCSI and its employees and agents accept no liability in negligence for the information (or the use of such information) provided in this report. ii Innovative Locations and Addressing in Australia Contents 1 Introduction ................................................................ 2 1.1 Project Background and Objectives ................................................................................................ 2 1.2 Scope & Deliverables ...................................................................................................................... 2 1.3 Methodology ................................................................................................................................... -
Geocoding User Queries
Geocoding User Queries Dipl.-Inf. Konstantin Clemens ORCID: 0000-0003-1892-9574 an der Fakultät IV – Elektrotechnik und Informatik der Technischen Universität Berlin zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften - Dr.-Ing. - genehmigte Dissertation Promotionsausschuss: Tag der wissenschaftlichen Aussprache: Vorsitzender: 10. Dezember 2019 Prof. Dr. Manfred Hauswirth Gutachter: Prof. Dr. Axel Küpper Prof. Dr.-Ing. Jochen Schiller Prof. Dr.-Ing. David Bermbach Berlin 2020 Technische Universität Berlin Fakultät IV Service-centric Networking Doctoral Thesis Geocoding User Queries Author: Supervisors: Konstantin Clemens Prof. Dr. Axel Küpper Prof. Dr.-Ing. Jochen Schiller Prof. Dr.-Ing. David Bermbach iii Declaration of Authorship I, Konstantin Clemens, declare that this thesis titled, “Geocoding User Queries” and the work presented in it are my own. I conrm that: • This work was done wholly or mainly while in candidature for a research degree at this University. • Where any part of this thesis has previously been submitted for a degree or any other qualication at this University or any other institution, this has been clearly stated. • Where I have consulted the published work of others, this is always clearly attributed. • Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. • I have acknowledged all main sources of help. • Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Date: v Abstract While human users refer to locations using toponyms and addresses, computers rely on latitude and longitude coordinates, or similar, numerical encoding of location information.