Lessons From the Trenches: using Mobile Phone Data for Official Statistics
|
|
- Egbert Whitehead
- 5 years ago
- Views:
Transcription
1 Lessons From the Trenches: using Mobile Phone Data for Official Statistics Maarten Vanhoof Orange Labs/Newcastle Hoof MaartenVanhoof.com
2 Mobile Phone Data (Call Detail Records)
3 Mobile Phone Data (Signaling)
4 Mobile Phone Data (Call Detail Records) Metadata Caller (phone) Called phone Timestamp Type of event Duration of call/length of text Location of celltower
5 Mobile Phone Data (Call Detail Records) Toole et al. (2015) Coupling Human Mobilities and Social Ties.
6 Individual indicators: Bandicoot active days number of contacts number of interactions call duration percent nocturnal percent initiated interactions response delay text entropy of contacts balance of contacts interactions per contact inter-event time percent pareto interactions percent pareto durations number of antennas entropy of antennas percent at home radius of gyration frequent antennas
7 Individual indicators for official statistics Behavioural Contextual Individual mobility e.g. diversity of mobility Car ownership Access to public transport Income Marital status Membership Home location Etc.
8 Individual indicators for official statistics Pappalardo,Vanhoof, et al. (2016) An Analytical Framework to Nowcast Well-Being using Mobile Phone Data.
9 Individual indicators for official statistics Pappalardo,Vanhoof, et al. (2016) An Analytical Framework to Nowcast Well-Being using Mobile Phone Data.
10 Individual indicators for official statistics
11 (Geographical) Veracity Spatial allocation Spatial delineation Spatial aggregation
12 (Geographical) Veracity Spatial allocation Spatial delineation Spatial aggregation
13 Spatial allocation: Home detection Pappalardo,Vanhoof, et al. (2016) An Analytical Framework to Nowcast Well-Being using Mobile Phone Data.
14 Spatial allocation: Home detection Uncertainty of home allocation algorithms No knowledge on how certain we can geographically pinpoint users Because no ground truth is available
15 Spatial allocation: Home detection
16 Spatial allocation: Home detection Uncertainty Performance Vanhoof et al. (Submitted) Investigating Performance and Spatial Uncertainty of Home Detection Criteria for CDR data
17
18 Spatial allocation: Solution? In short term, we need to: Create a better understanding on the uncertainty that comes with home detection Test heuristics for home detection on different databases and for different countries Design surveys to gather ground truth at the individual level In long term, we need to: Understand how change in mobile phone use/available datasets influence allocation Decide on standardizing home detection and error assessment Design a platform where all operators, researchers, policy makers can easily do this and compare results between different datasets
19 (Geographical) Veracity Spatial allocation Spatial delineation Spatial aggregation
20 Spatial delineation Uneven delineations of space Between antennas (high-density vs. low-density, operator 1 vs. operator 2,..) Between antennas and administrative regions (cell-tower coverage vs. municipalities) Between different definitions of urban areas (Urban Units vs. Urban Areas) Create errors that are poorly understood and challenging to address Is relevant for Population Density Estimations Mobility Derivation Parameter estimation (e.g. for urban scaling laws) in statistical analysis Error/uncertainty assessment
21 Spatial delineation: Mobility Entropy Vanhoof, et al. (Submitted) Correcting Mobility Entropy from CDR data for large-scale comparison of individual movement patterns
22 Spatial delineation: Mobility Entropy Vanhoof, et al. (Submitted) Correcting Mobility Entropy from CDR data for large-scale comparison of individual movement patterns
23 Spatial delineation: Urban scaling laws Cottineau et al. (2016) Paradoxal Interpretations of Urban Scaling Laws
24 Spatial delineation: Solution? In short term, we need to work on : Minimizing the influence of spatial delineations on our measurements Techniques that allow translation between different spatial delineations Assessments of the influence of spatial delineation (geo-computation) In long term, we need to: Overthink possibilities to standardize spatial delineations Develop practices in Official Statistics that express the effect of spatial delineation
25 Spatial delineation: Urban scaling laws Cottineau et al. (2016) Paradoxal Interpretations of Urban Scaling Laws
26 (Geographical) Veracity Spatial allocation Spatial delineation Spatial aggregation
27 Spatial aggregation Scale does matter for: Unintended selective filtering (e.g. highly active persons, communities) Objective construction of indicators (e.g. 5 km in Paris or in the Pyrenees) Representativeness of single operators (e.g. distorted market shares) Personal behaviour (e.g. long-distance vs. Short-distance trips) Geographical, economical, sociological, ecological,etc. context (e.g. transport infrastructure) Still, there is no single evidence that current (spatial) aggregation practices take into account any of these when studying mobile phone data. In addition, given the highly changing nature of mobile phone use, it is my hypothesis that behavioral data is even more prone to this fallacy.
28 Spatial aggregation Relations between indicators Population Density Estimation vs. Official Statistics Cell-tower level IRIS level
29 Spatial aggregation: Solution? In short term, we need to work on : Techniques that define the best spatial scale for studying certain processes Both empirical, quantitative (e.g. optimal raster sizes for population density estimations) As theoretical, qualitative (e.g. expert judgment) Techniques that express changing nature of observations when (spatially) aggregating E.g. Representativeness in population terms of single operator data at different scales Techniques that investigate, or even incorporate sensitivity of definitions to spatial scale E.g. Fragmented definitions of distance according to scale Techniques that investigate sensitivity of data to spatial aggregation E.g. Spatial autocorrelations In long term, we need to: See how all of this evolves over time as human behaviour & mobile phone use will change
30 Thoughts Why starting from individual indicators? Privacy issues (newer datasets don t allow this) Computationally expensive treatment Temporal resolution is far from optimal Difficult to communicate/visualise Why not using the big aspect of the data and use patterns? Activity patterns of cell-towers High-level communication/commuting patterns Population presence registration
31 High-level analysis: Learning Urban Areas Combes, de Bellefon and Vanhoof (Submitted) Understanding urban centers organization and influence with mobile phone data
32 High-level analysis: Learning Urban Areas Combes, de Bellefon and Vanhoof (Submitted) Understanding urban centers organization and influence with mobile phone data
33 Don t be Batman. The same problems and scientific questions will persist. Only now less visible, and as such, less provoked.
34 Conclusion Work from the trenches on individual data identifies problems but Is done by a limited amount of researchers Not a priority for operators (never was, never will be) Lack of data and knowledge at the institutions (but they are catching up) Limited rewards in academics, limited scientific community Is threatened by protective measurements on data Impossibility to continue pursuing in-depth research Fled to African data, but limited quality of official statistics there Development of shared platforms for analysis, but simplifies workflows Is mostly limited to one-dataset, one-operator Comparison of findings is absolutely necessary for better insights and methods Dream to have full coverage of population is feasible but needs strong policy
35 Thank you, The Hoof MaartenVanhoof.com
From Viral product spreading to Poverty prediction Data Science from a telecom perspective
From Viral product spreading to Poverty prediction Data Science from a telecom perspective Pål Sundsøy, Telenor Group Research Oct 22 nd 2015 International Conference on Big Data for Official Statistics,
More informationMight using the Internet while travelling affect car ownership plans of Millennials? Dr. David McArthur and Dr. Jinhyun Hong
Might using the Internet while travelling affect car ownership plans of Millennials? Dr. David McArthur and Dr. Jinhyun Hong Introduction Travel habits among Millennials (people born between 1980 and 2000)
More informationSocio-Economic Levels and Human Mobility
1 Socio-Economic Levels and Human Mobility V. Frias-Martinez, J. Virseda, E. Frias-Martinez Abstract Socio-economic levels provide an understanding of the population s access to housing, education, health
More informationSPATIALIST: Describing and Analysing the current SDI-status in Flanders (Belgium)
SPATIALIST: Describing and Analysing the current SDI-status in Flanders (Belgium) J. Crompvoets, E. Dessers, K. Janssen, D. Vandenbroucke, G. Vancauwenberghe, T. Geudens - SPATIALIST - Zero measurement
More informationGeographic Data Science - Lecture II
Geographic Data Science - Lecture II (New) Spatial Data Dani Arribas-Bel "Yesterday" Introduced the (geo-)data revolution What is it? Why now? The need of (geo-)data science to make sense of it all Today
More informationA route map to calibrate spatial interaction models from GPS movement data
A route map to calibrate spatial interaction models from GPS movement data K. Sila-Nowicka 1, A.S. Fotheringham 2 1 Urban Big Data Centre School of Political and Social Sciences University of Glasgow Lilybank
More informationChanges in the Spatial Distribution of Mobile Source Emissions due to the Interactions between Land-use and Regional Transportation Systems
Changes in the Spatial Distribution of Mobile Source Emissions due to the Interactions between Land-use and Regional Transportation Systems A Framework for Analysis Urban Transportation Center University
More informationNew Frameworks for Urban Sustainability Assessments: Linking Complexity, Information and Policy
New Frameworks for Urban Sustainability Assessments: Linking Complexity, Information and Policy Moira L. Zellner 1, Thomas L. Theis 2 1 University of Illinois at Chicago, Urban Planning and Policy Program
More informationGeostatistics and Spatial Scales
Geostatistics and Spatial Scales Semivariance & semi-variograms Scale dependence & independence Ranges of spatial scales Variable dependent Fractal dimension GIS implications Spatial Modeling Spatial Analysis
More informationDisaster Management & Recovery Framework: The Surveyors Response
Disaster Management & Recovery Framework: The Surveyors Response Greg Scott Inter-Regional Advisor Global Geospatial Information Management United Nations Statistics Division Department of Economic and
More informationThe Global Statistical Geospatial Framework and the Global Fundamental Geospatial Themes
The Global Statistical Geospatial Framework and the Global Fundamental Geospatial Themes Sub-regional workshop on integration of administrative data, big data and geospatial information for the compilation
More informationThe Scope and Growth of Spatial Analysis in the Social Sciences
context. 2 We applied these search terms to six online bibliographic indexes of social science Completed as part of the CSISS literature search initiative on November 18, 2003 The Scope and Growth of Spatial
More informationEstimating Large Scale Population Movement ML Dublin Meetup
Deutsche Bank COO Chief Data Office Estimating Large Scale Population Movement ML Dublin Meetup John Doyle PhD Assistant Vice President CDO Research & Development Science & Innovation john.doyle@db.com
More informationSpatial Extension of the Reality Mining Dataset
R&D Centre for Mobile Applications Czech Technical University in Prague Spatial Extension of the Reality Mining Dataset Michal Ficek, Lukas Kencl sponsored by Mobility-Related Applications Wanted! Urban
More informationGridded Population of the World Version 4 (GPWv4)
Gridded Population of the World Version 4 (GPWv4) Greg Yetman Chris Small Erin Doxsey-Whitfield Kytt MacManus May 28, 2015 Global Urbanization Workshop http://sedac.ciesin.columbia.edu 1 Focus on applying
More informationMethodological issues in the development of accessibility measures to services: challenges and possible solutions in the Canadian context
Methodological issues in the development of accessibility measures to services: challenges and possible solutions in the Canadian context Alessandro Alasia 1, Frédéric Bédard 2, and Julie Bélanger 1 (1)
More informationThe ESPON Programme. Goals Main Results Future
The ESPON Programme Goals Main Results Future Structure 1. Goals Objectives and expectations Participation, organisation and networking Themes addressed in the applied research undertaken in ESPON projects
More informationTHE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL. CTS Research Conference May 23, 2012
THE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL CTS Research Conference May 23, 2012 Metropolitan Council forecasts Regional planning agency and MPO for Twin Cities metropolitan area Operates regional
More informationMonthly Prediction of the Vegetation Condition: A case for Ethiopia
Monthly Prediction of the Vegetation Condition: A case for Ethiopia Getachew Berhan Addis Ababa University, Ethiopia getachewb1@yahoo.com Tsegaye Tadesse National Drought Mitigation Center University of
More informationAssessing the quality of home detection from mobile phone data for official statistics
Assessing the quality of home detection from mobile phone data for official statistics Maarten Vanhoof 1,2, Fernando Reis 3, Thomas Ploetz 1,4, Zbigniew Smoreda 2 1. Open Lab, Newcastle University, Newastle
More informationUnderstanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan
Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan The Census data for China provides comprehensive demographic and business information
More informationUnderstanding Individual Daily Activity Space Based on Large Scale Mobile Phone Location Data
Understanding Individual Daily Activity Space Based on Large Scale Mobile Phone Location Data Yang Xu 1, Shih-Lung Shaw 1 2 *, Ling Yin 3, Ziliang Zhao 1 1 Department of Geography, University of Tennessee,
More informationSubject: Note on spatial issues in Urban South Africa From: Alain Bertaud Date: Oct 7, A. Spatial issues
Page 1 of 6 Subject: Note on spatial issues in Urban South Africa From: Alain Bertaud Date: Oct 7, 2009 A. Spatial issues 1. Spatial issues and the South African economy Spatial concentration of economic
More informationIntegration for Informed Decision Making
Geospatial and Statistics Policy Intervention: Integration for Informed Decision Making Greg Scott Global Geospatial Information Management United Nations Statistics Division Department of Economic and
More informationThe determinants of transport modal choice in Bodensee-Alpenrhein region
The determinants of transport modal choice in Bodensee-Alpenrhein region Seyedeh Ashrafi University of Vienna Energie Innovation, February 2018 Modal choice is a decision process to choose between different
More informationUncovering the Digital Divide and the Physical Divide in Senegal Using Mobile Phone Data
Uncovering the Digital Divide and the Physical Divide in Senegal Using Mobile Phone Data Song Gao, Bo Yan, Li Gong, Blake Regalia, Yiting Ju, Yingjie Hu STKO Lab, Department of Geography, University of
More informationCall Detail Records to Characterize Usages and Mobility Events of Phone Users
Call Detail Records to Characterize Usages and Mobility Events of Phone Users Yannick Léo, Anthony Busson, Carlos Sarraute, Eric Fleury To cite this version: Yannick Léo, Anthony Busson, Carlos Sarraute,
More informationr10_summary.qxd :19 Page 245 ABOUT THE BOOK
r10_summary.qxd 2011-08-28 21:19 Page 245 ABOUT THE BOOK The main strategic aim of most concepts of rural development is to improve the quality of life of rural residents through providing appropriate
More information+ DEEP. Credentials OLIVIER LA ROCCA
DEEP Credentials OLIVIER LA ROCCA EUROPARTNERS What is Deep? How does it work? Case study AGENDA Contacts Understanding the reality and the nuances of local communities is crucial when it comes to take
More informationSpatial Variation in Hospitalizations for Cardiometabolic Ambulatory Care Sensitive Conditions Across Canada
Spatial Variation in Hospitalizations for Cardiometabolic Ambulatory Care Sensitive Conditions Across Canada CRDCN Conference November 14, 2017 Martin Cooke Alana Maltby Sarah Singh Piotr Wilk Today s
More informationLand Use of the Geographical Information System (GIS) and Mathematical Models in Planning Urban Parks & Green Spaces
Land Use of the Geographical Information System (GIS) and Mathematical Models in Planning Urban Key words: SUMMARY TS 37 Spatial Development Infrastructure Linkages with Urban Planning and Infrastructure
More informationSequential Recommender Systems
Recommender Stammtisch, Zalando, 26/6/14 Sequential Recommender Systems! Knowledge Mining & Assessment brefeld@kma.informatik.tu-darmstadt.de Collaborative Filtering Prof. Dr. 2 Collaborative Filtering
More informationPLANNING (PLAN) Planning (PLAN) 1
Planning (PLAN) 1 PLANNING (PLAN) PLAN 500. Economics for Public Affairs Description: An introduction to basic economic concepts and their application to public affairs and urban planning. Note: Cross-listed
More informationStudy Visit University of Applied Sciences Utrecht Netherlands
Study Visit University of Applied Sciences Utrecht Netherlands Directorate-General for Territorial Development Lisbon 1 April 2014 1 Agenda Presentation Cadastre Department Surveying / Geodesy Department
More informationInnovation and Regional Growth in the European Union
Riccardo Crescenzi Andres Rodriguez-Pose Innovation and Regional Growth in the European Union Springer Contents 1 Introduction 1 2 Theoretical Framework: A Spatial Perspective On Innovation and the Genesis
More informationDP Project Development Pvt. Ltd.
Dear Sir/Madam, Greetings!!! Thanks for contacting DP Project Development for your training requirement. DP Project Development is leading professional training provider in GIS technologies and GIS application
More informationThe Integrated Ge spatial Information Framework to the strengthening of NSDI, Mongolia
Young Geospatial Professionals Summit 21 NOV 2018 The Integrated Ge spatial Information Framework to the strengthening of NSDI, Mongolia BAYARMAA ENKHTUR Geospatial information and technology department
More informationFriendship and Mobility: User Movement In Location-Based Social Networks. Eunjoon Cho* Seth A. Myers* Jure Leskovec
Friendship and Mobility: User Movement In Location-Based Social Networks Eunjoon Cho* Seth A. Myers* Jure Leskovec Outline Introduction Related Work Data Observations from Data Model of Human Mobility
More informationCompact guides GISCO. Geographic information system of the Commission
Compact guides GISCO Geographic information system of the Commission What is GISCO? GISCO, the Geographic Information System of the COmmission, is a permanent service of Eurostat that fulfils the requirements
More informationThe Spatial Structure of Cities: International Examples of the Interaction of Government, Topography and Markets
Module 2: Spatial Analysis and Urban Land Planning The Spatial Structure of Cities: International Examples of the Interaction of Government, Topography and Markets Alain Bertaud Urbanist Summary What are
More informationMobility Analytics through Social and Personal Data. Pierre Senellart
Mobility Analytics through Social and Personal Data Pierre Senellart Session: Big Data & Transport Business Convention on Big Data Université Paris-Saclay, 25 novembre 2015 Analyzing Transportation and
More informationFoundation Geospatial Information to serve National and Global Priorities
Foundation Geospatial Information to serve National and Global Priorities Greg Scott Inter-Regional Advisor Global Geospatial Information Management United Nations Statistics Division UN-GGIM: A global
More informationThe distribution of human beings in relation to population dynamics, economic development, and cultural diversity.
Geography104: Introduction to Human Geography SOFI 2011: July 2- August 10 Instructor: Dr. James C. Saku Office Phone: 301-687-4724 Home: 301-687-0519 Administrative Assistant: 301-687-4369 Office Location:
More informationRealizing benefits of Spatial Data Infrastructure A user s perspective from Environment Agency - Abu Dhabi
Realizing benefits of Spatial Data Infrastructure A user s perspective from Environment Agency - Abu Dhabi Anil Kumar Director, Environment Information Management 26 April 2012 Geospatial World Forum,
More informationMALDIVES. Regional Expert Workshop On Land Accounting For SDG Monitoring & Reporting (25-27 th Sept 2017) - Fathimath Shanna, Aishath Aniya -
MALDIVES Regional Expert Workshop On Land Accounting For SDG Monitoring & Reporting (25-27 th Sept 2017) - Fathimath Shanna, Aishath Aniya - ABOUT MALDIVES Approximately 860 km long and 120 km wide Consists
More informationExploring Human Mobility with Multi-Source Data at Extremely Large Metropolitan Scales. ACM MobiCom 2014, Maui, HI
Exploring Human Mobility with Multi-Source Data at Extremely Large Metropolitan Scales Desheng Zhang & Tian He University of Minnesota, USA Jun Huang, Ye Li, Fan Zhang, Chengzhong Xu Shenzhen Institute
More informationFrontier and Remote (FAR) Area Codes: A Preliminary View of Upcoming Changes John Cromartie Economic Research Service, USDA
National Center for Frontier Communities webinar, January 27, 2015 Frontier and Remote (FAR) Area Codes: A Preliminary View of Upcoming Changes John Cromartie Economic Research Service, USDA The views
More informationGeographical Information Systems Energy Database Report. WP1 T1.3- Deliverable 1.9
Geographical Information Systems Energy Database Report WP1 T1.3- Deliverable 1.9 March 2015 1 314164 (ENER/FP7/314164) Project acronym: InSMART Project full title: Integrative Smart City Planning Coordination
More informationDEFINING AND MEASURING WORLD-METRO REGIONS FOR INTERNATIONAL COMPARISONS
DEFINING AND MEASURING WORLD-METRO REGIONS FOR INTERNATIONAL COMPARISONS Mario Piacentini, OECD 27th Scorus Conference, 11-13 August 2010, Latvia Why we need comparable measures of city performance Growing
More informationDefining Metropolitan Regions (MRs): coping with complexity
OECD Paris 27 November 2006 Defining Metropolitan Regions (MRs): coping with complexity Mike Coombes CURDS Newcastle University Britain Acknowledgements CURDS colleagues eg. Simon Raybould Past sponsors
More informationA Data Repository for Named Places and Their Standardised Names Integrated With the Production of National Map Series
A Data Repository for Named Places and Their Standardised Names Integrated With the Production of National Map Series Teemu Leskinen National Land Survey of Finland Abstract. The Geographic Names Register
More informationFinding Poverty in Satellite Images
Finding Poverty in Satellite Images Neal Jean Stanford University Department of Electrical Engineering nealjean@stanford.edu Rachel Luo Stanford University Department of Electrical Engineering rsluo@stanford.edu
More informationAdministrative Data Research Facility Linked HMDA and ACS Database
University of Pennsylvania ScholarlyCommons 2017 ADRF Network Research Conference Presentations ADRF Network Research Conference Presentations 11-2017 Administrative Data Research Facility Linked HMDA
More informationMachine Learning to Automatically Detect Human Development from Satellite Imagery
Technical Disclosure Commons Defensive Publications Series April 24, 2017 Machine Learning to Automatically Detect Human Development from Satellite Imagery Matthew Manolides Follow this and additional
More information19.2 Geographic Names Register General The Geographic Names Register of the National Land Survey is the authoritative geographic names data
Section 7 Technical issues web services Chapter 19 A Data Repository for Named Places and their Standardised Names Integrated with the Production of National Map Series Teemu Leskinen (National Land Survey
More informationThe Case for Space in the Social Sciences
The Case for Space in the Social Sciences Don Janelle Center for Spatially Integrated Social Science University of California, Santa Barbara Roundtable on Geographical Voices and Geographical Analysis
More informationUrban Inclusiveness In Theory and (Global Policy) Practice. Tim Bunnell Department of Geography National University of Singapore
Urban Inclusiveness In Theory and (Global Policy) Practice Tim Bunnell Department of Geography National University of Singapore geotgb@nus.edu.sg Urban Inclusiveness In Theory and (Global Policy) Practice
More informationtransportation research in policy making for addressing mobility problems, infrastructure and functionality issues in urban areas. This study explored
ABSTRACT: Demand supply system are the three core clusters of transportation research in policy making for addressing mobility problems, infrastructure and functionality issues in urban areas. This study
More informationDetecting Origin-Destination Mobility Flows From Geotagged Tweets in Greater Los Angeles Area
Detecting Origin-Destination Mobility Flows From Geotagged Tweets in Greater Los Angeles Area Song Gao 1, Jiue-An Yang 1,2, Bo Yan 1, Yingjie Hu 1, Krzysztof Janowicz 1, Grant McKenzie 1 1 STKO Lab, Department
More informationGEOGRAPHY 350/550 Final Exam Fall 2005 NAME:
1) A GIS data model using an array of cells to store spatial data is termed: a) Topology b) Vector c) Object d) Raster 2) Metadata a) Usually includes map projection, scale, data types and origin, resolution
More informationMeasuring Poverty. Introduction
Measuring Poverty Introduction To measure something, we need to provide answers to the following basic questions: 1. What are we going to measure? Poverty? So, what is poverty? 2. Who wants to measure
More informationWisconsin Academic Standards Science Grade: 8 - Adopted: 1998
Main Criteria: Wisconsin Academic Standards Secondary Criteria: Subjects: Science, Social Studies Grade: 8 Correlation Options: Show Correlated Wisconsin Academic Standards Science Grade: 8 - Adopted:
More informationHenning Sten Hansen, Line Hvingel & Lise Schrøder (AAU) Jesper Høi Skovdal (Geoforum Denmark) LISE SCHRØDER AALBORG UNIVERSITY
Henning Sten Hansen, Line Hvingel & Lise Schrøder (AAU) Jesper Høi Skovdal (Geoforum Denmark) Presentation overview Background Nordic surveys The way forward Concluding remarks Transforming government
More informationDATA DISAGGREGATION BY GEOGRAPHIC
PROGRAM CYCLE ADS 201 Additional Help DATA DISAGGREGATION BY GEOGRAPHIC LOCATION Introduction This document provides supplemental guidance to ADS 201.3.5.7.G Indicator Disaggregation, and discusses concepts
More informationDublin City Schools Social Studies Graded Course of Study Grade 5 K-12 Social Studies Vision
K-12 Social Studies Vision The Dublin City Schools K-12 Social Studies Education will provide many learning opportunities that will help students to: develop thinking as educated citizens who seek to understand
More informationGIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form
GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form 1. Abstract A prevailing view in the commuting is that commuting would reconstruct the urban form. By
More informationMoving Toward a Scale Independent Approach to Monitoring Status and Trends in Biodiversity
Moving Toward a Scale Independent Approach to Monitoring Status and Trends in Biodiversity Elizabeth T. Kennedy, Conservation International Environmental Evaluator's Networking Forum June 12, 2008 Guidance
More informationLand Use in the context of sustainable, smart and inclusive growth
Land Use in the context of sustainable, smart and inclusive growth François Salgé Ministry of sustainable development France facilitator EUROGI vice president AFIGéO board member 1 Introduction e-content+
More informationPrinciple 3: Common geographies for dissemination of statistics Poland & Canada. Janusz Dygaszewicz Statistics Poland
Principle 3: Common geographies for dissemination of statistics Poland & Canada Janusz Dygaszewicz Statistics Poland Reference materials Primary: Ortophotomap, Cadastral Data, Administrative division borders,
More informationOak Ridge Urban Dynamics Institute
Oak Ridge Urban Dynamics Institute Presented to ORNL NEED Workshop Budhendra Bhaduri, Director Corporate Research Fellow July 30, 2014 Oak Ridge, TN Our societal challenges and solutions are often local
More informationA proposal for building an infrastructure for European geospatial statistics
A proposal for building an infrastructure for European geospatial statistics Marie Haldorson, Statistics Sweden Ekkehard Petri, Eurostat What is geospatial statistics? The location, extent or spatial relations
More informationOn the Relation between Socio-Economic Status and Physical Mobility
On the Relation between Socio-Economic Status and Physical Mobility In emerging economies, the socio-economic status is a key element to evaluate social improvement as it provides an understanding of the
More informationREAL-TIME GIS OF GENDER
2 nd Conference on Advanced Modeling and Analysis MOPT/IGOT/CEG REAL-TIME GIS OF GENDER A telegeomonitoring approach PT07 Mainstreaming Gender Equality and Promoting Work Life Balance (2nd Open Call -
More informationDiffusion of GIS in Public Policy Doctoral Program
Diffusion of GIS in Public Policy Doctoral Program By Fulbert Namwamba PhD Southern University This presentation demonstrate how GIS was introduced in the Public Policy Doctoral Program at Southern University,
More informationPreparation of Database for Urban Development
Preparation of Database for Urban Development By PunyaP OLI, 1. Chairman, ERMC (P) Ltd., Kathmandu, Nepal. Email: punyaoli@ermcnepal.com 2. Coordinator, Himalayan College of Geomatic Engineering and Land
More informationKey Indicators for Territorial Cohesion & Spatial Planning Stakeholder Workshop - Project Update. 13 th December 2012 San Sebastián, Basque Country
Key Indicators for Territorial Cohesion & Spatial Planning Stakeholder Workshop - Project Update 13 th December 2012 San Sebastián, Basque Country Key Aims Explore the use of territorial data in developing
More informationThe Governance of Land Use
The planning system Levels of government and their responsibilities The Governance of Land Use COUNTRY FACT SHEET NORWAY Norway is a unitary state with three levels of government; the national level, 19
More informationINTRODUCTION TO GIS. Dr. Ori Gudes
INTRODUCTION TO GIS Dr. Ori Gudes Outline of the Presentation What is GIS? What s the rational for using GIS, and how GIS can be used to solve problems? Explore a GIS map and get information about map
More informationAdding value to Copernicus services with member states reference data
www.eurogeographics.org Adding value to Copernicus services with member states reference data Neil Sutherland neil.sutherland@os.uk GIS in the EU 10 November 2016 Copyright 2016 EuroGeographics 61 member
More informationModelling Spatial Behaviour in Music Festivals Using Mobile Generated Data and Machine Learning
Modelling Spatial Behaviour in Music Festivals Using Mobile Generated Data and Machine Learning Luis Francisco Mejia Garcia *1, Guy Lansley 2 and Ben Calnan 3 1 Department of Civil, Environmental & Geomatic
More informationLand Accounts - The Canadian Experience
Land Accounts - The Canadian Experience Development of a Geospatial database to measure the effect of human activity on the environment Who is doing Land Accounts Statistics Canada (national) Component
More informationResolutions from the Tenth United Nations Conference on the Standardization of Geographical Names, 2012, New York*
UNITED NATIONS GROUP OF EXPERTS ON GEOGRAPHICAL NAMES Twenty-eighth session New York, 28 April 2 May 2014 GEGN/28/9 English Resolutions from the Tenth United Nations Conference on the Standardization of
More informationWELCOME TO GCSE GEOGRAPHY WHERE WILL IT TAKE US TODAY?
WELCOME TO GCSE GEOGRAPHY WHERE WILL IT TAKE US TODAY? What is our challenge? X WHAT IS THE GLOBAL PATTERN OF URBAN GROWTH? TOPIC 5: URBAN FUTURES 5.1: WHY DO MORE THAN HALF OF THE WORLD S POPULATION
More informationINTEGRATION OF GIS AND MULTICRITORIAL HIERARCHICAL ANALYSIS FOR AID IN URBAN PLANNING: CASE STUDY OF KHEMISSET PROVINCE, MOROCCO
Geography Papers 2017, 63 DOI: http://dx.doi.org/10.6018/geografia/2017/280211 ISSN: 1989-4627 INTEGRATION OF GIS AND MULTICRITORIAL HIERARCHICAL ANALYSIS FOR AID IN URBAN PLANNING: CASE STUDY OF KHEMISSET
More informationAnalysis of Regional Fundamental Datasets Questionnaire
Permanent Committee on GIS Infrastructure for Asia and the Pacific Working Group 2 Regional Fundamental Data Summary Report on Analysis of Regional Fundamental Datasets Questionnaire ABBAS RAJABIFARD and
More informationGIS Geographical Information Systems. GIS Management
GIS Geographical Information Systems GIS Management Difficulties on establishing a GIS Funding GIS Determining Project Standards Data Gathering Map Development Recruiting GIS Professionals Educating Staff
More informationGeocoding of all Danish addresses from the residence database
March 2014 Malene Thygesen, CIRRAU Geocoding of all Danish addresses from the residence database The objective of this paper is to describe the procedure that has been used to allocate geographical coordinates
More informationSGA-2: WP6- Early estimates. SURS: Boro Nikić, Tomaž Špeh ESSnet Big Data Project Brussels 26.,
SGA-2: WP6- Early estimates SURS: Boro Nikić, Tomaž Špeh ESSnet Big Data Project Brussels 26.,27.10. 2017 Outline WP6 state of affairs WP6 pilot: Early estimates of economic indicators Methods Data sources
More informationIntegrating Official Statistics and Geospatial Information NBS Experience
Integrating Official Statistics and Geospatial Information NBS Experience Presented by Eng. Reda AL Sabbagh Director of IT Dept. Prepared by Eng. Adham Makky GIS Specialist Topics to be covered: Background
More informationWhat is Spatial Planning?
Spatial Planning in the context of the Responsible Governance of Tenure What is Spatial Planning? Text-only version This course is funded by the European Union through the EU-FAO Improved Global Governance
More informationThe Recognition of Temporal Patterns in Pedestrian Behaviour Using Visual Exploration Tools
The Recognition of Temporal Patterns in Pedestrian Behaviour Using Visual Exploration Tools I. Kveladze 1, S. C. van der Spek 2, M. J. Kraak 1 1 University of Twente, Faculty of Geo-Information Science
More informationIntroducing the WISERD Geoportal. WISERD DATA TEAM Dr Robert Berry & Dr Richard Fry, University of Glamorgan Dr Scott Orford, Cardiff University
Introducing the WISERD Geoportal WISERD DATA TEAM Dr Robert Berry & Dr Richard Fry, University of Glamorgan Dr Scott Orford, Cardiff University WISERD What is WISERD? Wales Institute of Social and Economic
More informationCONSTRUCTING THE POVERTY AND OPPORTUNITIES/PUBLIC SERVICES MAPS INFORMATION MANAGEMENT. Background: Brazil Without Extreme Poverty Plan
INFORMATION MANAGEMENT CONSTRUCTING THE POVERTY AND OPPORTUNITIES/PUBLIC SERVICES MAPS Background: Brazil Without Extreme Poverty Plan The Brazil Without Extreme Poverty Plan (BSM), designed to overcome
More informationKUNMING FORUM ON UNITED NATIONS GLOBAL GEOSPATIAL INFORMATION MANAGEMENT CITIES OF THE FUTURE: SMART, RESILIENT
KUNMING FORUM ON UNITED NATIONS GLOBAL GEOSPATIAL INFORMATION MANAGEMENT CITIES OF THE FUTURE: SMART, RESILIENT and SUSTAINABLE Yunnan Zhenzhuang Guest House, Kunming, China 10 12 May 2017 BACKGROUND CONCEPT
More information1. Which agency in your state is PRIMARILY responsible for archiving geospatial data and managing archived geo records? (choose one) nmlkj.
Survey Intro Kentucky, North Carolina, and Utah are partnering with the Library of Congress as part of the National Digital Information Infrastructure and Preservation Program (NDIIPP) to examine the current
More informationarxiv: v1 [physics.soc-ph] 20 Aug 2014
MEASURES OF HUMAN MOBILITY USING MOBILE PHONE RECORDS ENHANCED WITH GIS DATA NATHALIE E. WILLIAMS, TIMOTHY A. THOMAS, MATTHEW DUNBAR, NATHAN EAGLE, AND ADRIAN DOBRA arxiv:1408.5420v1 [physics.soc-ph] 20
More informationExtracting mobility behavior from cell phone data DATA SIM Summer School 2013
Extracting mobility behavior from cell phone data DATA SIM Summer School 2013 PETER WIDHALM Mobility Department Dynamic Transportation Systems T +43(0) 50550-6655 F +43(0) 50550-6439 peter.widhalm@ait.ac.at
More informationEgypt Public DSS. the right of access to information. Mohamed Ramadan, Ph.D. [R&D Advisor to the president of CAPMAS]
Egypt Public DSS ì the right of access to information Central Agency for Public Mobilization and Statistics Arab Republic of Egypt Mohamed Ramadan, Ph.D. [R&D Advisor to the president of CAPMAS] Egypt
More informationROUNDTABLE ON SOCIAL IMPACTS OF TIME AND SPACE-BASED ROAD PRICING Luis Martinez (with Olga Petrik, Francisco Furtado and Jari Kaupilla)
ROUNDTABLE ON SOCIAL IMPACTS OF TIME AND SPACE-BASED ROAD PRICING Luis Martinez (with Olga Petrik, Francisco Furtado and Jari Kaupilla) AUCKLAND, NOVEMBER, 2017 Objective and approach (I) Create a detailed
More informationDEVELOPING DECISION SUPPORT TOOLS FOR THE IMPLEMENTATION OF BICYCLE AND PEDESTRIAN SAFETY STRATEGIES
DEVELOPING DECISION SUPPORT TOOLS FOR THE IMPLEMENTATION OF BICYCLE AND PEDESTRIAN SAFETY STRATEGIES Deo Chimba, PhD., P.E., PTOE Associate Professor Civil Engineering Department Tennessee State University
More information