Dr Arulsivanathan Naidoo Statistics South Africa 18 October 2017

Size: px
Start display at page:

Download "Dr Arulsivanathan Naidoo Statistics South Africa 18 October 2017"

Transcription

1 ESRI User Conference 2017 Space Time Pattern Mining Analysis of Matric Pass Rates in Cape Town Schools Dr Arulsivanathan Naidoo Statistics South Africa 18 October 2017

2 Choose one of the following

3 Leadership

4 Stability

5 Adventurous

6 Obsessed with Sex and Liquor

7 Outline Statistics and Geography Stats SA dissemination Analysis of matric pass rates in Cape town schools Spatial Statistics

8 Spatial Statistics Moran autocorrelation Clustering of data. Getis Ord Hot spot analysis. Anselin Outlier analysis. Create Space time cube from aggregated points Create space time cube for fixed locations Emerging hot spot analysis Visualization in 2d and 3d Space time cube explorer Ordinary least squares Regression Geographically weighted Regression

9 Thanks and Appreciation First UN World Data Forum Jan 2017 Linda Peters ERSI team in Johannesburg Dr Lauren Scott Esri website for videos and Pdfs Lauren Bennett

10 CRUISE Centre for Regional and Urban Innovation and Statistical Exploration. Vision of Dr Pali Lehohla that statistics should merge with Geography Masters Program at Stellenbosch university

11 Sample size Data Set A Data Set B Mean Standard Deviation Median

12 As a young man, my fondest dream was to become a geographer. However, while working in the Customs Office, I thought deeply about the matter and concluded that it was far too difficult a subject. With some reluctance, I then turned to physics as an alternative. Quotation widely attributed to Albert Einstein

13

14

15 Vector data Geometry points (houses) Lines (street) Area polygons Shapefiles Attributes household data type of roof number of rooms piped water electricity person data age gender employment Census data GIS allows you to merge all this data for analysis

16 Piped water 2001 and We can ask the question WHERE?

17 ERSI makes interpretation easy for non statisticians

18 Hotspot analysis Youth unemployment, Census 2011

19 Moran autocorrelation indicates the pass rates are clustered High Schools in Cape Town

20 Getis-Ord Hot Spot Analysis

21 Anselin Outlier Analysis 100 shacks in informal settlement 99 have income of R1500 or less 1 household has an income of R15000

22 Anselin Outlier Analysis

23 What is this school doing successfully to get a high pass rate

24 Waldo Tobler s First Law of Geography "everything is related to everything else, but near things are more related than distant things." Adding a new dimension to spatial statistics Time Everything is related to everything else, but near and RECENT things are more related than distant things The Sweedish geographer Torshen Hagerstrand introduced time geography in the mid 1990 s. He first introduced the space time aquariam or space time cube.

25 Table of Data for analysis

26 Space Time Cube

27 Space Time Cube

28 Space Time Cube

29 Space Time Cube

30 Space Time Cube

31 Space Time Cube

32 Space Time Cube

33 Space Time Cube Multi dimensional cube for advanced statistical analysis

34 Space Time Cube

35 Space Time Cube

36 Emerging Hot spot analysis

37 Create Space Time Cube By Aggregating Points Output from this tool is a netcdf representation of your input points The Input Features should be points This tool requires projected data to accurately measure distances.

38 Stats SA and many government departments cannot disclose unit record data We disseminate the data at aggregate levels School pass rates Clinic patients Police station house burgulary Create Space Time Cube From Defined Locations

39 Emerging Hot Spot Analysis. You would use the netcdf file as input to other tools such as the Emerging Hot spot analysis tool The trend analysis performed on the aggregated count data and summary field values is based on the Mann-Kendall statistic. Ten time-step intervals are required by the Mann-Kendall statistic.

40 Emerging hot spot analysis for matric pass rates in Cape Town schools

41

42 Visualization of Emerging hot spot analysis in 3d

43

44

45

46

47 Linking 2d and 3d side by side

48 Visualization using the Time Cube Explorer

49 Visualization using the Time Cube Explorer

50 Visualization using the Time Cube Explorer

51

52 A new hot spot is the where the last time step id value is statistically significant as a hot spot A consecutive hot spot is the where the last two time step id value is statistically significant as a hot spot

53 If 90% of the time step Id are statistically significant hot spots Attribute values increasing Intensifying hot spot Attribute values have no pattern- Persistent hot spot Attribute values decreasing Diminishing hot spot

54 If less than 90% of time step Id are statistically significant If no time step id was a cold spot Sporadic hot spot If at least one time step id was a cold spot Oscillating hot spot

55 90% of the time step Id are statistically significant hot spots but the last time step Id is not a hot spot.

56 Ask the question WHY? Regression Model

57 Dr Snow s explanation of cholera deaths in London Locations of water pu

58

59 Regression Model Pass = Employment Telephone Computer Variable Estimate t-statistic p-value VIF Intercept < *** Computer *** 4.96 Employed *** 1.82 Telephone *** 4.89

60

61

62 Simpsons Paradox

63 Is your Data Stationary Ages of first year students Ages of university staff

64

65 GWR- Local Regression with fewer points Try to picture a helicopter casting a shadow over the points

66 Geographically Weighted Regression Pass = Employment

67 Challenge to ESRI Spatial developers GWR in Three dimension shadow to ballon

68 The South Africa I know, the Home I understand

69 The South Africa I know, the Home I understand

70 The South Africa I know, the Home I understand

71 No income 80% Income, age & level of education 70% 60% No schooling 50% 40% 30% 20% 10% Age Grade 11 Grade 12 Diploma Bachelors degree

72 Black African Coloured Indian White Percentage of workers in each age group who are skilled (managers, professionals, technicians) Congratulate ESRI on their initiative to introduce the diploma which will The percentage of workers in skilled occupations increased in all age and all race groups, except for black Africans aged 25-34, which decreased contribute to an increase in the number of skilled people There were much weaker gains in the black African group for all ages 0% 10% 20% 30% 40% 50% 60% 70% 80% Closure of nursing colleges, teacher training colleges, technical training

73 Conclusion Point pattern 2 dimension Space time cube Point pattern 3 dimension Statistics and Geography must work together. The technology of GIS ( expanding and improving tools for analysis) Visualization Evidence based decision making Stats SA has made all its data free and we also assist you in the analysis. Next step is to explore the Insights

74 Thank You The Science of WHERE

75

Nature of Spatial Data. Outline. Spatial Is Special

Nature of Spatial Data. Outline. Spatial Is Special Nature of Spatial Data Outline Spatial is special Bad news: the pitfalls of spatial data Good news: the potentials of spatial data Spatial Is Special Are spatial data special? Why spatial data require

More information

Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign

Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign GIS and Spatial Analysis Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign http://sal.agecon.uiuc.edu Outline GIS and Spatial Analysis

More information

This report details analyses and methodologies used to examine and visualize the spatial and nonspatial

This report details analyses and methodologies used to examine and visualize the spatial and nonspatial Analysis Summary: Acute Myocardial Infarction and Social Determinants of Health Acute Myocardial Infarction Study Summary March 2014 Project Summary :: Purpose This report details analyses and methodologies

More information

Exploratory Spatial Data Analysis (ESDA)

Exploratory Spatial Data Analysis (ESDA) Exploratory Spatial Data Analysis (ESDA) VANGHR s method of ESDA follows a typical geospatial framework of selecting variables, exploring spatial patterns, and regression analysis. The primary software

More information

ArcGIS Platform For NSOs

ArcGIS Platform For NSOs ArcGIS Platform For NSOs Applying GIS and Spatial Thinking to Official Statistics Esri UC 2014 Demo Theater Applying GIS at the NSO Generic Statistical Business Process Model (GSBPM) 1 Specify Needs 2

More information

CURRICULUM VITAE Mthobeli Vaaltyn

CURRICULUM VITAE Mthobeli Vaaltyn CURRICULUM VITAE Mthobeli Vaaltyn 2880 Dwarhane Street Browns Farm Philippi 7785 Cell: 071 3720 456 E-Mail: mvaaltyn4@gmail.com PERSONAL DETAILS Surname First Name(s) : Vaaltyn : Mthobeli Date of Birth

More information

Finding Hot Spots in ArcGIS Online: Minimizing the Subjectivity of Visual Analysis. Nicholas M. Giner Esri Parrish S.

Finding Hot Spots in ArcGIS Online: Minimizing the Subjectivity of Visual Analysis. Nicholas M. Giner Esri Parrish S. Finding Hot Spots in ArcGIS Online: Minimizing the Subjectivity of Visual Analysis Nicholas M. Giner Esri Parrish S. Henderson FBI Agenda The subjectivity of maps What is Hot Spot Analysis? Why do Hot

More information

Modeling Spatial Relationships Using Regression Analysis

Modeling Spatial Relationships Using Regression Analysis Esri International User Conference San Diego, California Technical Workshops July 24, 2012 Modeling Spatial Relationships Using Regression Analysis Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS Answering

More information

Spatial Pattern Analysis: Mapping Trends and Clusters

Spatial Pattern Analysis: Mapping Trends and Clusters Esri International User Conference San Diego, California Technical Workshops July 24, 2012 Spatial Pattern Analysis: Mapping Trends and Clusters Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS Presentation

More information

GIS Spatial Statistics for Public Opinion Survey Response Rates

GIS Spatial Statistics for Public Opinion Survey Response Rates GIS Spatial Statistics for Public Opinion Survey Response Rates July 22, 2015 Timothy Michalowski Senior Statistical GIS Analyst Abt SRBI - New York, NY t.michalowski@srbi.com www.srbi.com Introduction

More information

NEW YORK DEPARTMENT OF SANITATION. Spatial Analysis of Complaints

NEW YORK DEPARTMENT OF SANITATION. Spatial Analysis of Complaints NEW YORK DEPARTMENT OF SANITATION Spatial Analysis of Complaints Spatial Information Design Lab Columbia University Graduate School of Architecture, Planning and Preservation November 2007 Title New York

More information

Objectives Define spatial statistics Introduce you to some of the core spatial statistics tools available in ArcGIS 9.3 Present a variety of example a

Objectives Define spatial statistics Introduce you to some of the core spatial statistics tools available in ArcGIS 9.3 Present a variety of example a Introduction to Spatial Statistics Opportunities for Education Lauren M. Scott, PhD Mark V. Janikas, PhD Lauren Rosenshein Jorge Ruiz-Valdepeña 1 Objectives Define spatial statistics Introduce you to some

More information

Lecture 3: Exploratory Spatial Data Analysis (ESDA) Prof. Eduardo A. Haddad

Lecture 3: Exploratory Spatial Data Analysis (ESDA) Prof. Eduardo A. Haddad Lecture 3: Exploratory Spatial Data Analysis (ESDA) Prof. Eduardo A. Haddad Key message Spatial dependence First Law of Geography (Waldo Tobler): Everything is related to everything else, but near things

More information

Achieving the Vision Geo-statistical integration addressing South Africa s Developmental Agenda. geospatial + statistics. The Data Revolution

Achieving the Vision Geo-statistical integration addressing South Africa s Developmental Agenda. geospatial + statistics. The Data Revolution Achieving the Vision Geo-statistical integration addressing South Africa s Developmental Agenda geospatial + statistics The Data Revolution humble beginnings, present & future - South Africa UN World Data

More information

Modeling Spatial Relationships using Regression Analysis

Modeling Spatial Relationships using Regression Analysis Esri International User Conference San Diego, CA Technical Workshops July 2011 Modeling Spatial Relationships using Regression Analysis Lauren M. Scott, PhD Lauren Rosenshein, MS Mark V. Janikas, PhD Answering

More information

In matrix algebra notation, a linear model is written as

In matrix algebra notation, a linear model is written as DM3 Calculation of health disparity Indices Using Data Mining and the SAS Bridge to ESRI Mussie Tesfamicael, University of Louisville, Louisville, KY Abstract Socioeconomic indices are strongly believed

More information

Lecture 3: Exploratory Spatial Data Analysis (ESDA) Prof. Eduardo A. Haddad

Lecture 3: Exploratory Spatial Data Analysis (ESDA) Prof. Eduardo A. Haddad Lecture 3: Exploratory Spatial Data Analysis (ESDA) Prof. Eduardo A. Haddad Key message Spatial dependence First Law of Geography (Waldo Tobler): Everything is related to everything else, but near things

More information

Demographic Data in ArcGIS. Harry J. Moore IV

Demographic Data in ArcGIS. Harry J. Moore IV Demographic Data in ArcGIS Harry J. Moore IV Outline What is demographic data? Esri Demographic data - Real world examples with GIS - Redistricting - Emergency Preparedness - Economic Development Next

More information

GIS for ChEs Introduction to Geographic Information Systems

GIS for ChEs Introduction to Geographic Information Systems GIS for ChEs Introduction to Geographic Information Systems AIChE Webinar John Cirucci 1 GIS for ChEs Introduction to Geographic Information Systems What is GIS? Tools and Methods Applications Examples

More information

Final Project: An Income and Education Study of Washington D.C.

Final Project: An Income and Education Study of Washington D.C. Final Project: An Income and Education Study of Washington D.C. Barbara J. McKay Archibald Geography 586 Dr. Justine Blanford 12 December, 2009 As the seat of the United States Federal Government, Washington

More information

GeoHealth Applications Platform ESRI Health GIS Conference 2013

GeoHealth Applications Platform ESRI Health GIS Conference 2013 GeoHealth Applications Platform ESRI Health GIS Conference 2013 Authors Thomas A. Horan, Ph.D. Professor, CISAT Director April Moreno Health GeoInformatics Ph.D. Student Brian N. Hilton, Ph.D. Clinical

More information

Spatial Analysis with ArcGIS Pro STUDENT EDITION

Spatial Analysis with ArcGIS Pro STUDENT EDITION Spatial Analysis with ArcGIS Pro STUDENT EDITION Copyright 2018 Esri All rights reserved. Course version 2.0. Version release date November 2018. Printed in the United States of America. The information

More information

emerge Network: CERC Survey Survey Sampling Data Preparation

emerge Network: CERC Survey Survey Sampling Data Preparation emerge Network: CERC Survey Survey Sampling Data Preparation Overview The entire patient population does not use inpatient and outpatient clinic services at the same rate, nor are racial and ethnic subpopulations

More information

Modeling Spatial Relationships Using Regression Analysis. Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS

Modeling Spatial Relationships Using Regression Analysis. Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS Modeling Spatial Relationships Using Regression Analysis Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS Workshop Overview Answering why? questions Introduce regression analysis - What it is and why

More information

Chapter 0 Introduction. Advanced Urban Analysis E. - Spatial Analysis and GIS Educational background. 0.1 Introducing myself

Chapter 0 Introduction. Advanced Urban Analysis E. - Spatial Analysis and GIS Educational background. 0.1 Introducing myself Course #716-26 Advanced Urban Analysis E Chapter 0 Introduction Lecture Title: - Spatial Analysis and GIS Instructor: Yukio Sadahiro 0.1 Introducing myself 0.1.1 Educational background Yukio Sadahiro Associate

More information

Techniques for Science Teachers: Using GIS in Science Classrooms.

Techniques for Science Teachers: Using GIS in Science Classrooms. Techniques for Science Teachers: Using GIS in Science Classrooms. After ESRI, 2008 GIS A Geographic Information System A collection of computer hardware, software, and geographic data used together for

More information

Exploring the Impact of Ambient Population Measures on Crime Hotspots

Exploring the Impact of Ambient Population Measures on Crime Hotspots Exploring the Impact of Ambient Population Measures on Crime Hotspots Nick Malleson School of Geography, University of Leeds http://nickmalleson.co.uk/ N.S.Malleson@leeds.ac.uk Martin Andresen Institute

More information

Using GIS to Explore the Relationship between Socioeconomic Status and Demographic Variables and Crime in Pittsburgh, Pennsylvania

Using GIS to Explore the Relationship between Socioeconomic Status and Demographic Variables and Crime in Pittsburgh, Pennsylvania Using GIS to Explore the Relationship between Socioeconomic Status and Demographic Variables and Crime in Pittsburgh, Pennsylvania Stephen E. Mitchell Department of Resource Analysis, Saint Mary s University

More information

3/4/2010. ESRI Education Community. CommunityWeb Mapping Tools

3/4/2010. ESRI Education Community.     CommunityWeb Mapping Tools Sketch-A-Map Reading, Writing and Math from a Different Perspective Education Community at ESRI Web Mapping Tools ESRI Education Community http://edcommunity.esri.com CommunityWeb Mapping Tools http://edcommunity.esri.com/maps/index.cfm

More information

Massachusetts Institute of Technology Department of Urban Studies and Planning

Massachusetts Institute of Technology Department of Urban Studies and Planning Massachusetts Institute of Technology Department of Urban Studies and Planning 11.204: Planning, Communications & Digital Media Fall 2002 Lecture 6: Tools for Transforming Data to Action Lorlene Hoyt October

More information

Medical GIS: New Uses of Mapping Technology in Public Health. Peter Hayward, PhD Department of Geography SUNY College at Oneonta

Medical GIS: New Uses of Mapping Technology in Public Health. Peter Hayward, PhD Department of Geography SUNY College at Oneonta Medical GIS: New Uses of Mapping Technology in Public Health Peter Hayward, PhD Department of Geography SUNY College at Oneonta Invited research seminar presentation at Bassett Healthcare. Cooperstown,

More information

Running head: GEOGRAPHICALLY WEIGHTED REGRESSION 1. Geographically Weighted Regression. Chelsey-Ann Cu GEOB 479 L2A. University of British Columbia

Running head: GEOGRAPHICALLY WEIGHTED REGRESSION 1. Geographically Weighted Regression. Chelsey-Ann Cu GEOB 479 L2A. University of British Columbia Running head: GEOGRAPHICALLY WEIGHTED REGRESSION 1 Geographically Weighted Regression Chelsey-Ann Cu 32482135 GEOB 479 L2A University of British Columbia Dr. Brian Klinkenberg 9 February 2018 GEOGRAPHICALLY

More information

DIFFERENT INFLUENCES OF SOCIOECONOMIC FACTORS ON THE HUNTING AND FISHING LICENSE SALES IN COOK COUNTY, IL

DIFFERENT INFLUENCES OF SOCIOECONOMIC FACTORS ON THE HUNTING AND FISHING LICENSE SALES IN COOK COUNTY, IL DIFFERENT INFLUENCES OF SOCIOECONOMIC FACTORS ON THE HUNTING AND FISHING LICENSE SALES IN COOK COUNTY, IL Xiaohan Zhang and Craig Miller Illinois Natural History Survey University of Illinois at Urbana

More information

1Department of Demography and Organization Studies, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX

1Department of Demography and Organization Studies, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX Well, it depends on where you're born: A practical application of geographically weighted regression to the study of infant mortality in the U.S. P. Johnelle Sparks and Corey S. Sparks 1 Introduction Infant

More information

Using GIS to Evaluate Rural Emergency Medical Services (EMS)

Using GIS to Evaluate Rural Emergency Medical Services (EMS) Using GIS to Evaluate Rural Emergency Medical Services (EMS) Zhaoxiang He Graduate Research Assistant Xiao Qin Ph.D., P.E. Associate Professor Outline Introduction Literature Review Study Design Data Collection

More information

How GIS can be used for improvement of literacy and CE programmes

How GIS can be used for improvement of literacy and CE programmes How GIS can be used for improvement of literacy and CE programmes Training Workshop for Myanmar Literacy Resource Center (MLRC) ( Yangon, Myanmar, 11 20 October 2000 ) Presented by U THEIN HTUT GEOCOMP

More information

Spatial Pattern Analysis: Mapping Trends and Clusters. Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS

Spatial Pattern Analysis: Mapping Trends and Clusters. Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS Spatial Pattern Analysis: Mapping Trends and Clusters Lauren M. Scott, PhD Lauren Rosenshein Bennett, MS Presentation Outline Spatial statistics overview Describing spatial patterns Quantifying spatial

More information

Geographical Inequalities and Population Change in Britain,

Geographical Inequalities and Population Change in Britain, Geographical Inequalities and Population Change in Britain, 1971-2011 Chris Lloyd, Nick Bearman, Gemma Catney Centre for Spatial Demographics Research, University of Liverpool, UK Email: c.d.lloyd@liverpool.ac.uk

More information

Map your way to deeper insights

Map your way to deeper insights Map your way to deeper insights Target, forecast and plan by geographic region Highlights Apply your data to pre-installed map templates and customize to meet your needs. Select from included map files

More information

Spatial Pattern Analysis: Mapping Trends and Clusters

Spatial Pattern Analysis: Mapping Trends and Clusters 2013 Esri International User Conference July 8 12, 2013 San Diego, California Technical Workshop Spatial Pattern Analysis: Mapping Trends and Clusters Lauren Rosenshein Bennett Brett Rose Presentation

More information

EXPLORATORY SPATIAL DATA ANALYSIS OF BUILDING ENERGY IN URBAN ENVIRONMENTS. Food Machinery and Equipment, Tianjin , China

EXPLORATORY SPATIAL DATA ANALYSIS OF BUILDING ENERGY IN URBAN ENVIRONMENTS. Food Machinery and Equipment, Tianjin , China EXPLORATORY SPATIAL DATA ANALYSIS OF BUILDING ENERGY IN URBAN ENVIRONMENTS Wei Tian 1,2, Lai Wei 1,2, Pieter de Wilde 3, Song Yang 1,2, QingXin Meng 1 1 College of Mechanical Engineering, Tianjin University

More information

Defining Statistically Significant Spatial Clusters of a Target Population using a Patient-Centered Approach within a GIS

Defining Statistically Significant Spatial Clusters of a Target Population using a Patient-Centered Approach within a GIS Defining Statistically Significant Spatial Clusters of a Target Population using a Patient-Centered Approach within a GIS Efforts to Improve Quality of Care Stephen Jones, PhD Bio-statistical Research

More information

emerge Network: CERC Survey Survey Sampling Data Preparation

emerge Network: CERC Survey Survey Sampling Data Preparation emerge Network: CERC Survey Survey Sampling Data Preparation Overview The entire patient population does not use inpatient and outpatient clinic services at the same rate, nor are racial and ethnic subpopulations

More information

Merging statistics and geospatial information

Merging statistics and geospatial information Merging statistics and geospatial information Demography / Commuting / Spatial planning / Registers Mirosław Migacz Chief GIS Specialist Janusz Dygaszewicz Director Central Statistical Office of Poland

More information

Mapping Your Educational Research: Putting Spatial Concepts into Practice with GIS. Mark Hogrebe Washington University in St.

Mapping Your Educational Research: Putting Spatial Concepts into Practice with GIS. Mark Hogrebe Washington University in St. Mapping Your Educational Research: Putting Spatial Concepts into Practice with GIS Mapping Your Educational Research: Putting Spatial Concepts into Practice with GIS Mark Hogrebe Washington University

More information

A Street Named for a King

A Street Named for a King A Street Named for a King Dr. Jerry Mitchell University of South Carolina OVERVIEW This lesson adapts the work of Dr. Derek Alderman, a geographer who has used the Martin Luther King, Jr. street-naming

More information

Mapping For Wellness: Then and Now

Mapping For Wellness: Then and Now Mapping For Wellness: Then and Now John Ritter, Ph.D. Geomatics Dept. Oregon Institute of Technology Klamath Falls, OR 97601 John.Ritter@oit.edu Sponsors 1 Objectives Understand how medical mapping can

More information

Census Transportation Planning Products (CTPP)

Census Transportation Planning Products (CTPP) Census Transportation Planning Products (CTPP) Penelope Weinberger CTPP Program Manager - AASHTO September 15, 2010 1 What is the CTPP Program Today? The CTPP is an umbrella program of data products, custom

More information

Developing a Community Geographical Information System (GIS) in Rural India

Developing a Community Geographical Information System (GIS) in Rural India Developing a Community Geographical Information System (GIS) in Rural India Before rushing off and describing the unique challenges of developing a small scale GIS system India I better first describe

More information

Using Spatial Statistics Social Service Applications Public Safety and Public Health

Using Spatial Statistics Social Service Applications Public Safety and Public Health Using Spatial Statistics Social Service Applications Public Safety and Public Health Lauren Rosenshein 1 Regression analysis Regression analysis allows you to model, examine, and explore spatial relationships,

More information

Spotlight on Population Resources for Geography Teachers. Pat Beeson, Education Services, Australian Bureau of Statistics

Spotlight on Population Resources for Geography Teachers. Pat Beeson, Education Services, Australian Bureau of Statistics Spotlight on Population Resources for Geography Teachers Pat Beeson, Education Services, Australian Bureau of Statistics Population Population size Distribution Age Structure Ethnic composition Gender

More information

Completions Institution: CUNY Borough of Manhattan Community College User ID: 36C0029

Completions Institution: CUNY Borough of Manhattan Community College User ID: 36C0029 Completions 207-8 Institution: CUNY Borough of Manhattan Community College User ID: 36C0029 (9052) Completions Overview Welcome to the IPEDS Completions survey component. The Completions component is one

More information

Presented at ESRI Education User Conference, July 6-8, 2001, San Diego, CA

Presented at ESRI Education User Conference, July 6-8, 2001, San Diego, CA Presented at ESRI Education User Conference, July 6-8, 2001, San Diego, CA Irina V. Sharkova, Ph.D., Research Assistant Professor Richard Lycan, Ph.D., Senior Research Associate Population Research Center

More information

GIS Lecture 5: Spatial Data

GIS Lecture 5: Spatial Data GIS Lecture 5: Spatial Data GIS 1 Outline Vector Data Formats Raster Data Formats Map Projections Coordinate Systems US Census geographic files US Census data files GIS Data Sources GIS 2 Vector Data Formats

More information

BROOKINGS May

BROOKINGS May Appendix 1. Technical Methodology This study combines detailed data on transit systems, demographics, and employment to determine the accessibility of jobs via transit within and across the country s 100

More information

GIS-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 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 information

Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University

Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University TTU Graduate Certificate Geographic Information Science and Technology (GIST) 3 Core Courses and

More information

Spatial Analysis 1. Introduction

Spatial Analysis 1. Introduction Spatial Analysis 1 Introduction Geo-referenced Data (not any data) x, y coordinates (e.g., lat., long.) ------------------------------------------------------ - Table of Data: Obs. # x y Variables -------------------------------------

More information

Spatial analysis. Spatial descriptive analysis. Spatial inferential analysis:

Spatial analysis. Spatial descriptive analysis. Spatial inferential analysis: Spatial analysis Spatial descriptive analysis Point pattern analysis (minimum bounding box, mean center, weighted mean center, standard distance, nearest neighbor analysis) Spatial clustering analysis

More information

Spatial-Temporal Analytics with Students Data to recommend optimum regions to stay

Spatial-Temporal Analytics with Students Data to recommend optimum regions to stay Spatial-Temporal Analytics with Students Data to recommend optimum regions to stay By ARUN KUMAR BALASUBRAMANIAN (A0163264H) DEVI VIJAYAKUMAR (A0163403R) RAGHU ADITYA (A0163260N) SHARVINA PAWASKAR (A0163302W)

More information

VIDEO: The World In A Box: Geographic Information Systems

VIDEO: The World In A Box: Geographic Information Systems Geographic Information Systems VIDEO: The World In A Box: Geographic Information Systems Adapted from: The World In A Box: Geographic Information Systems. A Public Television Documentary, Opticus Corporation:

More information

Concepts and Applications of Kriging. Eric Krause Konstantin Krivoruchko

Concepts and Applications of Kriging. Eric Krause Konstantin Krivoruchko Concepts and Applications of Kriging Eric Krause Konstantin Krivoruchko Outline Introduction to interpolation Exploratory spatial data analysis (ESDA) Using the Geostatistical Wizard Validating interpolation

More information

Institution: CUNY Hostos Community College (190585) User ID: 36C0029 Completions Overview distance education All Completers unduplicated count

Institution: CUNY Hostos Community College (190585) User ID: 36C0029 Completions Overview distance education All Completers unduplicated count Completions 205-6 Institution: CUNY Hostos Community College (90585) User ID: 36C0029 Completions Overview Welcome to the IPEDS Completions survey component. The Completions component is one of several

More information

The Use of Local Moran s I in Determining the Effectiveness of Location for Gas Extraction

The Use of Local Moran s I in Determining the Effectiveness of Location for Gas Extraction Lauren Heller GIS and GPS Applications in Earth Science December 7, 2009 The Use of Local Moran s I in Determining the Effectiveness of Location for Gas Extraction The base map of gas production in Yuma

More information

COMMUNITY SERVICE AREA

COMMUNITY SERVICE AREA INSTITUTE FOR TRIBAL ENVIRONMENTAL PROFESSIONALS Tribal Waste and Response Assistance Program (TWRAP) Developing and Implementing a Tribal Integrated Solid Waste Management Plan April 12-14, 2016 Palm

More information

CSISS Tools and Spatial Analysis Software

CSISS Tools and Spatial Analysis Software CSISS Tools and Spatial Analysis Software June 5, 2006 Stephen A. Matthews Associate Professor of Sociology & Anthropology, Geography and Demography Director of the Geographic Information Analysis Core

More information

Geoprocessing Tools at ArcGIS 9.2 Desktop

Geoprocessing Tools at ArcGIS 9.2 Desktop Geoprocessing Tools at ArcGIS 9.2 Desktop Analysis Tools Analysis Tools \ Extract Clip Analysis Tools \ Extract Select Analysis Tools \ Extract Split Analysis Tools \ Extract Table Select Analysis Tools

More information

THE ESTABLISHMENT SURVEY TECHNICAL REPORT

THE ESTABLISHMENT SURVEY TECHNICAL REPORT THE ESTABLISHMENT SURVEY TECHNICAL REPORT March 2017 1 1. Introduction The collection of data for the Establishment Survey commenced on 1 July 2016. The aim is for media owners, marketers, and advertisers

More information

Challenges in Geocoding Socially-Generated Data

Challenges in Geocoding Socially-Generated Data Challenges in Geocoding Socially-Generated Data Jonny Huck (2 nd year part-time PhD student) Duncan Whyatt Paul Coulton Lancaster Environment Centre School of Computing and Communications Royal Wedding

More information

KENTUCKY HAZARD MITIGATION PLAN RISK ASSESSMENT

KENTUCKY HAZARD MITIGATION PLAN RISK ASSESSMENT KENTUCKY HAZARD MITIGATION PLAN RISK ASSESSMENT Presentation Outline Development of the 2013 State Hazard Mitigation Plan Risk Assessment Determining risk assessment scale Census Data Aggregation Levels

More information

Michael Harrigan Office hours: Fridays 2:00-4:00pm Holden Hall

Michael Harrigan Office hours: Fridays 2:00-4:00pm Holden Hall Announcement New Teaching Assistant Michael Harrigan Office hours: Fridays 2:00-4:00pm Holden Hall 209 Email: michael.harrigan@ttu.edu Guofeng Cao, Texas Tech GIST4302/5302, Lecture 2: Review of Map Projection

More information

Comparison of spatial methods for measuring road accident hotspots : a case study of London

Comparison of spatial methods for measuring road accident hotspots : a case study of London Journal of Maps ISSN: (Print) 1744-5647 (Online) Journal homepage: http://www.tandfonline.com/loi/tjom20 Comparison of spatial methods for measuring road accident hotspots : a case study of London Tessa

More information

Finding Hot Spots in ArcGIS Online: Minimizing the Subjectivity of Visual Analysis. Nicholas M. Giner Esri Parrish S.

Finding Hot Spots in ArcGIS Online: Minimizing the Subjectivity of Visual Analysis. Nicholas M. Giner Esri Parrish S. Finding Hot Spots in ArcGIS Online: Minimizing the Subjectivity of Visual Analysis Nicholas M. Giner Esri Parrish S. Henderson - FBI Agenda The subjectivity of maps What is Hot Spot Analysis? What is Outlier

More information

Introduction to Spatial Analysis in ArcGIS Online. Jian Lange, Vicki Lynn Cove

Introduction to Spatial Analysis in ArcGIS Online. Jian Lange, Vicki Lynn Cove Introduction to Spatial Analysis in ArcGIS Online Jian Lange, Vicki Lynn Cove Topics Introducing ArcGIS Online Spatial Analysis ArcGIS Online Spatial Analysis Workflow Demos and examples - Using ArcGIS

More information

Regression Analysis of 911 call frequency in Portland, OR Urban Areas in Relation to Call Center Vicinity Elyse Maurer March 13, 2015

Regression Analysis of 911 call frequency in Portland, OR Urban Areas in Relation to Call Center Vicinity Elyse Maurer March 13, 2015 Regression Analysis of 911 call frequency in Portland, OR Urban Areas in Relation to Call Center Vicinity Elyse Maurer March 13, 2015 Introduction: Using the Linear Regression and Geographically Weighted

More information

Concepts and Applications of Kriging

Concepts and Applications of Kriging 2013 Esri International User Conference July 8 12, 2013 San Diego, California Technical Workshop Concepts and Applications of Kriging Eric Krause Konstantin Krivoruchko Outline Intro to interpolation Exploratory

More information

Concepts and Applications of Kriging. Eric Krause

Concepts and Applications of Kriging. Eric Krause Concepts and Applications of Kriging Eric Krause Sessions of note Tuesday ArcGIS Geostatistical Analyst - An Introduction 8:30-9:45 Room 14 A Concepts and Applications of Kriging 10:15-11:30 Room 15 A

More information

Land cover modeling in the Travis County

Land cover modeling in the Travis County Land cover modeling in the Travis County Contents Introduction.1 Data collection 3 Data pre-processing 6 Land cover modeling 12 Final considerations 13 Prepared for: GIS and Water Resources By Julie C

More information

Spatial Data Mining. Regression and Classification Techniques

Spatial Data Mining. Regression and Classification Techniques Spatial Data Mining Regression and Classification Techniques 1 Spatial Regression and Classisfication Discrete class labels (left) vs. continues quantities (right) measured at locations (2D for geographic

More information

Assessing Social Vulnerability to Biophysical Hazards. Dr. Jasmine Waddell

Assessing Social Vulnerability to Biophysical Hazards. Dr. Jasmine Waddell Assessing Social Vulnerability to Biophysical Hazards Dr. Jasmine Waddell About the Project Built on a need to understand: The pre-disposition of the populations in the SE to adverse impacts from disaster

More information

GIS Test Drive What a Geographic Information System Is and What it Can Do. Alison Davis-Holland

GIS Test Drive What a Geographic Information System Is and What it Can Do. Alison Davis-Holland GIS Test Drive What a Geographic Information System Is and What it Can Do Alison Davis-Holland adavisholland@gmail.com WHO AM I? Geospatial Analyst M.S. in Geographic and Cartographic Sciences Use GIS

More information

Lecture 8. Spatial Estimation

Lecture 8. Spatial Estimation Lecture 8 Spatial Estimation Lecture Outline Spatial Estimation Spatial Interpolation Spatial Prediction Sampling Spatial Interpolation Methods Spatial Prediction Methods Interpolating Raster Surfaces

More information

Understanding Your Community A Guide to Data

Understanding Your Community A Guide to Data Understanding Your Community A Guide to Data Alex Lea September 2013 Research and Insight Team LeicestershireCounty Council Understanding Geographies Important to understand the various geographies that

More information

Institution: CUNY Queensborough Community College (190673) User ID: 36C0029 Completions Overview distance education

Institution: CUNY Queensborough Community College (190673) User ID: 36C0029 Completions Overview distance education Completions 207-8 Institution: CUNY Queensborough Community College (90673) User ID: 36C0029 Completions Overview Welcome to the IPEDS Completions survey component. The Completions component is one of

More information

A FOSS Web Tool for Spatial Regression Techniques and its Application to Explore Bike Sharing Usage Patterns

A FOSS Web Tool for Spatial Regression Techniques and its Application to Explore Bike Sharing Usage Patterns A FOSS Web Tool for Spatial Regression Techniques and its Application to Explore Bike Sharing Usage Patterns MGIS Capstone Proposal Author: Spencer Bell Presentation Outline Background Bike Share Spatial

More information

Application of the Getis-Ord Gi* statistic (Hot Spot Analysis) to seafloor organisms

Application of the Getis-Ord Gi* statistic (Hot Spot Analysis) to seafloor organisms Application of the Getis-Ord Gi* statistic (Hot Spot Analysis) to seafloor organisms Diana Watters Research Fisheries Biologist Habitat Ecology Team Santa Cruz, CA Southwest Fisheries Science Center Fisheries

More information

CENSUS MAPPING WITH GIS IN NAMIBIA. BY Mrs. Ottilie Mwazi Central Bureau of Statistics Tel: October 2007

CENSUS MAPPING WITH GIS IN NAMIBIA. BY Mrs. Ottilie Mwazi Central Bureau of Statistics   Tel: October 2007 CENSUS MAPPING WITH GIS IN NAMIBIA BY Mrs. Ottilie Mwazi Central Bureau of Statistics E-mail: omwazi@npc.gov.na Tel: + 264 61 283 4060 October 2007 Content of Presentation HISTORICAL BACKGROUND OF CENSUS

More information

Cartographic and Geospatial Futures

Cartographic and Geospatial Futures Cartographic and Geospatial Futures 1. Web Cartography, WebGIS, & Virtual Globes--New Roles for Maps, GIS, and GIS professionals 2. Map Mashups, the Neo Neo-geography Movement, & Crowd-sourcing Geospatial

More information

GIST 4302/5302: Spatial Analysis and Modeling

GIST 4302/5302: Spatial Analysis and Modeling GIST 4302/5302: Spatial Analysis and Modeling Lecture 2: Review of Map Projections and Intro to Spatial Analysis Guofeng Cao http://thestarlab.github.io Department of Geosciences Texas Tech University

More information

Kenneth Melchert (Senior Statistician - Regional Liaison Officer)

Kenneth Melchert (Senior Statistician - Regional Liaison Officer) Sourcing Spatial Data from Local Government Getting the Data Right The Supplier s Perspective Presenter: Kenneth Melchert (Senior Statistician - Regional Liaison Officer) Information Products and Services

More information

Local Spatial Autocorrelation Clusters

Local Spatial Autocorrelation Clusters Local Spatial Autocorrelation Clusters Luc Anselin http://spatial.uchicago.edu LISA principle local Moran local G statistics issues and interpretation LISA Principle Clustering vs Clusters global spatial

More information

Do the Causes of Poverty Vary by Neighborhood Type?

Do the Causes of Poverty Vary by Neighborhood Type? Do the Causes of Poverty Vary by Neighborhood Type? Suburbs and the 2010 Census Conference Uday Kandula 1 and Brian Mikelbank 2 1 Ph.D. Candidate, Maxine Levin College of Urban Affairs Cleveland State

More information

Advanced Algorithms for Geographic Information Systems CPSC 695

Advanced Algorithms for Geographic Information Systems CPSC 695 Advanced Algorithms for Geographic Information Systems CPSC 695 Think about Geography What is Geography The 3 W s of Geography What is where Why is it there Why do I care Data - Data - Data We all got

More information

Daniel Fuller Lise Gauvin Yan Kestens

Daniel Fuller Lise Gauvin Yan Kestens Examining the spatial distribution and relationship between support for policies aimed at active living in transportation and transportation behavior Daniel Fuller Lise Gauvin Yan Kestens Introduction

More information

Everything is related to everything else, but near things are more related than distant things.

Everything is related to everything else, but near things are more related than distant things. SPATIAL ANALYSIS DR. TRIS ERYANDO, MA Everything is related to everything else, but near things are more related than distant things. (attributed to Tobler) WHAT IS SPATIAL DATA? 4 main types event data,

More information

Linking Industry and Occupation Clusters in Regional Economic Development

Linking Industry and Occupation Clusters in Regional Economic Development Linking Industry and Occupation Clusters in Regional Economic Development Charting the Course for Regional Development: First Annual EDA Economic Development Research Symposium Clarion Hotel Morgan Morgantown,

More information

Driving Forces of Houston s Burglary Hotspots During Hurricane Rita

Driving Forces of Houston s Burglary Hotspots During Hurricane Rita Driving Forces of Houston s Burglary Hotspots During Hurricane Rita Marco Helbich Department of Geography University of Heidelberg Heidelberg, Germany & Michael Leitner Department of Geography and Anthropology

More information

Geographic Systems and Analysis

Geographic Systems and Analysis Geographic Systems and Analysis New York University Robert F. Wagner Graduate School of Public Service Instructor Stephanie Rosoff Contact: stephanie.rosoff@nyu.edu Office hours: Mondays by appointment

More information

The Church Demographic Specialists

The Church Demographic Specialists The Church Demographic Specialists Easy-to-Use Features Map-driven, Web-based Software An Integrated Suite of Information and Query Tools Providing An Insightful Window into the Communities You Serve Key

More information

What s special about spatial data?

What s special about spatial data? What s special about spatial data? Road map Geographic Information analysis The need to develop spatial thinking Some fundamental geographic concepts (PBCS) What are the effects of space? Spatial autocorrelation

More information