GIS in Locating and Explaining Conflict Hotspots in Nepal
|
|
- Bethanie Hall
- 5 years ago
- Views:
Transcription
1 GIS in Locating and Explaining Conflict Hotspots in Nepal Lila Kumar Khatiwada Notre Dame Initiative for Global Development 1
2 Outline Brief background Use of GIS in conflict study Data source Findings and recommendations 2
3 Background Nepal conflict ( ) claimed over 15,000 lives and displaced thousands Originated in western hill in 1996, by 2004 most of Nepal districts were affected Conflict experts: Spatial-horizontal inequality in the districts best explains origin and expansion of conflict 3
4 Patterns of conflict High casualties in some districts: They were clustered together Low casualties in some districts: They were also clustered together Presence of spatial dependence 4
5 Data sources UNDP Nepal Human Development Report Central Bureau of Statistics, Nepal INSEC- human rights violation data UNSTAT- country boundary file 5
6 Use of GIS Visualizing, seeing the patterns Combining data: combined data derived from three different sources Mapping the casualties Testing autocorrelation, Morans I Building models, spatial error, lag models 6
7 Software use ArcMap Geoda Excel 7
8 Population killed in the districts 8
9 Why spatial dependence in conflict? Conflict is contagious: conflict of one place depends on its neighbor (autocorrelation) Geographically proximate units are similar to each other; conflict might spill over from one location to the next Population flows help in diffusion by facilitating the spread of arms, combatants, and ideologies conducive to conflict 9
10 Spatial dependence Underlying socio-economic process has led to clustered distribution of variable values Grouping processes grouping of similar people in localized areas Spatial interaction processes people near each other more likely to interact, share Diffusion processes Neighbors learn from each other Dispersal processes People move, but tend to be short distances, take their knowledge with them Spatial hierarchies Economic influences that bind people together 10
11 Moran s I A measure of autocorrelation similar in interpretation to the Pearson's correlation for independent samples, in that both statistics range between -1.0 and 1.0 Local Moran s I decomposes a global measure into each unit s contribution 11
12 Scatterplot 12
13 Moran s I results of high-high and low-low districts and their comparison Development indicators Low-low districts (averages) National Average High-high districts (averages) Life expectancy at birth, yrs Adult literacy rate Percent population without safe drinking water Female life expectancy, yrs Female literacy rate Percent women in administrative jobs Infant mortality rate Percent electrified households Land inequality Percent population with access to credit Percent population in nonagriculture
14 Local Moran s I 14
15 Spatial lag model Spatial lag model deals with questions of how the interaction between socioeconomic agents can lead to emergent collective behavior and aggregate patterns It is used to estimate the effect of various socioeconomic factors present in the districts on conflict It includes the mean of the dependent variable in neighboring areas (i.e., spatial lag) as an extra explanatory variable 15
16 Dependent variable District level fatalities: both govt. army, rebel side and common people Death rate is standardized based on district population 16
17 Regression results Variables Coefficient Std. Error Constant * Per capita GDP in PPP$ Adult literacy rate * Women s share of income ** Average landholding size ** Electrified households * Infant mortality rate Percent in non-agriculture Percent household with radio ** R Log Likelihood Rho 0.398*** 17
18 Findings Conflict is not independent of location and is not random but is a function of regional spatial effects A spatial lag model shows that districts with higher death rate had higher illiteracy, lower landholding size, poor infrastructure base, and unequal share of women s income 18
19 Findings It calls for addressing inequality issues in the districts Program and policy targeted for post reconstruction should be focused at the regional level the effect of any intervention may go beyond a district s boundary 19
20 Methodological contribution GIS can be used to locate the high conflict places Modeling with available spatial approach can answer many questions that are not possible from other methods 20
21 Thanks! 21
Assessing the Regional Vulnerability of Large Scale Mining in Ghana: An Application of Multi Criteria Analysis
Assessing the Regional Vulnerability of Large Scale Mining in Ghana: An Application of Multi Criteria Analysis Mukesh Subedee, GISDE 14 Arun Poojary, ES&P 13 Clark University April 29, 2013 Ghana: A case
More information1Department 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 informationWhere Do Overweight Women In Ghana Live? Answers From Exploratory Spatial Data Analysis
Where Do Overweight Women In Ghana Live? Answers From Exploratory Spatial Data Analysis Abstract Recent findings in the health literature indicate that health outcomes including low birth weight, obesity
More informationIntroduction to Development. Indicators and Models
Introduction to Development Indicators and Models First World vs. Third World Refers to economic development Diversity and complexity of economy High per capita income Developed during the Cold War First
More informationInternational Development
International Development Discipline/Multi-discipline or trans-disciplinary field Tahmina Rashid Associate Professor, International Studies What is Development? a. Development as a state or condition-static
More informationMigration Clusters in Brazil: an Analysis of Areas of Origin and Destination Ernesto Friedrich Amaral
1 Migration Clusters in Brazil: an Analysis of Areas of Origin and Destination Ernesto Friedrich Amaral Research question and data The main goal of this research is to analyze whether the pattern of concentration
More informationTracey Farrigan Research Geographer USDA-Economic Research Service
Rural Poverty Symposium Federal Reserve Bank of Atlanta December 2-3, 2013 Tracey Farrigan Research Geographer USDA-Economic Research Service Justification Increasing demand for sub-county analysis Policy
More informationDIFFERENT 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 informationIntroduction to Spatial Statistics and Modeling for Regional Analysis
Introduction to Spatial Statistics and Modeling for Regional Analysis Dr. Xinyue Ye, Assistant Professor Center for Regional Development (Department of Commerce EDA University Center) & School of Earth,
More informationSpatial segregation and socioeconomic inequalities in health in major Brazilian cities. An ESRC pathfinder project
Spatial segregation and socioeconomic inequalities in health in major Brazilian cities An ESRC pathfinder project Income per head and life-expectancy: rich & poor countries Source: Wilkinson & Pickett,
More informationA STUDY OF HUMAN DEVELOPMENT APPROACH TO THE DEVELOPMENT OF NORTH EASTERN REGION OF INDIA
ABSTRACT A STUDY OF HUMAN DEVELOPMENT APPROACH TO THE DEVELOPMENT OF NORTH EASTERN REGION OF INDIA Human development by emphasizing on capability approach differs crucially from the traditional approaches
More informationDwelling Price Ranking vs. Socio-Economic Ranking: Possibility of Imputation
Dwelling Price Ranking vs. Socio-Economic Ranking: Possibility of Imputation Larisa Fleishman Yury Gubman Aviad Tur-Sinai Israeli Central Bureau of Statistics The main goals 1. To examine if dwelling prices
More informationSection III: Poverty Mapping Results
Section III: Poverty Mapping Results Figure 5: Gewog level rural poverty map 58. The most prominent result from the poverty mapping exercise of Bhutan is the production of a disaggregated poverty headcount
More informationPRELIMINARY ANALYSIS OF SPATIAL REGIONAL GROWTH ELASTICITY OF POVERTY IN SUMATRA
PRELIMINARY ANALYSIS OF SPATIAL REGIONAL GROWTH ELASTICITY. PRELIMINARY ANALYSIS OF SPATIAL REGIONAL GROWTH ELASTICITY OF POVERTY IN SUMATRA Waleerat Suphannachart and Budy P. Resosudarmo The Arndt-Corden
More informationIn 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 informationGeography - Grade 8. Unit A - Global Settlement: Patterns and Sustainability
Geography - Grade 8 Geographical Thinking: Spatial Significance Patterns and Trends Interrelationships Geographic Perspective Geographic Inquiry: STEP 1 - Formulate Questions STEP 2 - Gather and Organize
More informationProductivity Differences Within and Between Countries
Productivity Differences Within and Between Countries Melissa Dell MIT OECD Lagging Regions Meeting, June 2010 Dell (MIT) Productivity Differences OECD Lagging Regions 1 / 21 Motivation Introduction and
More informationGIS (GEOGRAPHICAL INFORMATION SYSTEMS) AS A FACILITATION TOOL FOR SUSTAINABLE DEVELOPMENT IN AFRICA
GIS (GEOGRAPHICAL INFORMATION SYSTEMS) AS A FACILITATION TOOL FOR SUSTAINABLE DEVELOPMENT IN AFRICA a presentation by Elizabeth Hicken GDEST Conference on Geospatial Sciences for Sustainable Development
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 informationAS Population Change Question spotting
AS Change Question spotting Changing rate of growth How the rate of growth has changed over the last 100 years Explain the reasons for these changes Describe global or national distribution. Study the
More informationA Review of Concept of Peri-urban Area & Its Identification
A Review of Concept of Peri-urban Area & Its Identification Ar. Manita Saxena Research Scholar Department of Architecture and Planning M.A.N.I.T, Bhopal Dr. Supriya Vyas Assistant Professor, Department
More informationUsing 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 informationC/W Qu: How is development measured? 13/6/12 Aim: To understand how development is typically measured/classified and the pros/cons of these
C/W Qu: How is development measured? 13/6/12 Aim: To understand how development is typically measured/classified and the pros/cons of these Starter: Comment on this image Did you spot these? Rubbish truck
More informationExploring the Association Between Family Planning and Developing Telecommunications Infrastructure in Rural Peru
Exploring the Association Between Family Planning and Developing Telecommunications Infrastructure in Rural Peru Heide Jackson, University of Wisconsin-Madison September 21, 2011 Abstract This paper explores
More informationCOMPARISON OF THE HUMAN DEVELOPMENT BETWEEN OIC COUNTRIES AND THE OTHER COUNTRIES OF THE WORLD
COMPARISON OF THE HUMAN DEVELOPMENT BETWEEN OIC COUNTRIES AND THE OTHER COUNTRIES OF THE WORLD Ali Changi Ashtiani (M. A.) achashtian i@ya hoo.com Hadi Ghaffari (PhD) COMPARISON OF THE HUMAN DEVELOPMENT
More informationTemperature ( C) Map 1. Annual Average Temperatures Are Projected to Increase Dramatically by 2050
CO UNT RY S NA P SHO T Sri Lanka s Hotspots The Impact of Temperature and Precipitation Changes on Living Standards Climate change is already a pressing issue for Sri Lanka. Temperatures have risen considerably
More informationTHE DATA REVOLUTION HAS BEGUN On the front lines with geospatial data and tools
THE DATA REVOLUTION HAS BEGUN On the front lines with geospatial data and tools Slidedoc of presentation for MEASURE Evaluation End of Project Meeting Washington DC May 22, 2014 John Spencer Geospatial
More informationNational Spatial Development Perspective (NSDP) Policy Coordination and Advisory Service
National Spatial Development Perspective (NSDP) Policy Coordination and Advisory Service 1 BACKGROUND The advances made in the First Decade by far supersede the weaknesses. Yet, if all indicators were
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) One important feature of the world's population with the most significant future implications
More informationPresentation by Thangavel Palanivel Senior Strategic Advisor and Chief Economist UNDP Regional Bureau for Asia-Pacific
Presentation by Thangavel Palanivel Senior Strategic Advisor and Chief Economist UNDP Regional Bureau for Asia-Pacific The High-Level Euro-Asia Regional Meeting on Improving Cooperation on Transit, Trade
More informationMigration Modelling using Global Population Projections
Migration Modelling using Global Population Projections Bryan Jones CUNY Institute for Demographic Research Workshop on Data and Methods for Modelling Migration Associated with Climate Change 5 December
More informationImpact Evaluation of Rural Road Projects. Dominique van de Walle World Bank
Impact Evaluation of Rural Road Projects Dominique van de Walle World Bank Introduction General consensus that roads are good for development & living standards A sizeable share of development aid and
More informationRob Baller Department of Sociology University of Iowa. August 17, 2003
Applying a Spatial Perspective to the Study of Violence: Lessons Learned Rob Baller Department of Sociology University of Iowa August 17, 2003 Much of this work was funded by the National Consortium on
More informationIntroduction to Linear regression analysis. Part 2. Model comparisons
Introduction to Linear regression analysis Part Model comparisons 1 ANOVA for regression Total variation in Y SS Total = Variation explained by regression with X SS Regression + Residual variation SS Residual
More informationA Case Study of Regional Dynamics of China 中国区域动态案例研究
A Case Study of Regional Dynamics of China 中国区域动态案例研究 Shuming Bao Spatial Data Center & China Data Center University of Michigan 1:00 PM - 2:00 PM, Tue, Feb 6, 2018 EST USA A Case Study of Regional Dynamics
More informationAP Human Geography Unit 1: Basic Concepts and Development Mr. Stepek Guided Reading/Study Guide
AP Human Geography Unit 1: Basic Concepts and Development Mr. Stepek Guided Reading/Study Guide Directions: Follow the common directions distributed to you for guided reading assignments. Rubenstein p
More informationUnit 6: Development and Industrialization. Day 1: What is development?
Unit 6: Development and Industrialization Day 1: What is development? What is Development? The process of improving the material conditions of people through the diffusion of knowledge and technology More
More informationUNIT 11 INTER STATE AND INTER DISTRICT IMBALANCES
UNIT 11 INTER STATE AND INTER DISTRICT IMBALANCES Inter State and Inter District Imbalances Structure 11.0 Objectives 11.1 Introduction 11.2 Conceptual Bases to Understand the Issues of Regional Imbalances
More informationThe Cultural Landscape: An Introduction to Human Geography, 10e (Rubenstein) Chapter 2 Population
The Cultural Landscape: An Introduction to Human Geography, 10e (Rubenstein) Chapter 2 Population 1) One important feature of the world's population with the most significant future implications is that
More informationANALYZING CITIES & POPULATION: POPULATION GEOGRAPHY
ANALYZING CITIES & POPULATION: POPULATION GEOGRAPHY Population Geography Population Geography study of the number, contribution, and distribution of human populations Demography the study of the characteristics
More informationThe Use of Spatial Weights Matrices and the Effect of Geometry and Geographical Scale
The Use of Spatial Weights Matrices and the Effect of Geometry and Geographical Scale António Manuel RODRIGUES 1, José António TENEDÓRIO 2 1 Research fellow, e-geo Centre for Geography and Regional Planning,
More informationObjectives 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 informationExploratory Spatial Data Analysis of Regional Economic Disparities in Beijing during the Preparation Period of the 2008 Olympic Games
Exploratory Spatial Data Analysis of Regional Economic Disparities in Beijing during the Preparation Period of the 2008 Olympic Games Xiaoyi Ma, Tao Pei Thursday, May 27, 2010 The State Key Laboratory
More informationStudents will be able, using GIS, to locate the largest and most destructive earthquakes;
Exploring Earthquake Hazards with GIS Laboratory for Introduction to Geophysics, Spring 2007 Prof. Constantin Cranganu Brooklyn College of the City University of New York Learning Objectives: Students
More informationPlan-Making Methods AICP EXAM REVIEW. February 11-12, 2011 Georgia Tech Student Center
Plan-Making Methods AICP EXAM REVIEW February 11-12, 2011 Georgia Tech Student Center Session Outline Introduction (5 min) A. Basic statistics concepts (5 min) B. Forecasting methods (5 min) C. Population
More informationUnit 3: Making Geographical Decisions. Do not return the Resource Booklet with the question paper
Edexcel GCSE Geography B Unit 3: Making Geographical Decisions Sample Assessment Material Resource Booklet Paper 3F and 3H Paper Reference 5GB3F/01 5GB3H/01 Do not return the Resource Booklet with the
More informationThe Index of Human Insecurity
The Index of Human Insecurity A Project of the Global Environmental Change and Human Security Program (GECHS) Steve Lonergan, Kent Gustavson, and Brian Carter Department of Geography University of Victoria
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 informationAssociation Between Variables Measured at the Interval-Ratio Level: Bivariate Correlation and Regression
Association Between Variables Measured at the Interval-Ratio Level: Bivariate Correlation and Regression Last couple of classes: Measures of Association: Phi, Cramer s V and Lambda (nominal level of measurement)
More informationArticle Internet Access, Spillover and Regional Development in China
Article Internet Access, Spillover and Regional Development in China Juan Lin 1, Zhou Yu 2, *, Yehua Dennis Wei 3 and Mingfeng Wang 1 1 Center for Modern Chinese City Studies, East China Normal University,
More informationLecture 2 Differences and Commonalities among Developing Countries
Lecture 2 Differences and Commonalities among Developing Countries Lecture Outline I-Defining the developing world: Indicators of development A-GDP per capita: nominal, real, PPP B-Human Development Index
More informationStudents will be able, using GIS, to locate the largest and most destructive earthquakes;
Exploring Earthquake Hazards with GIS Laboratory for Introduction to Geophysics, Spring 2007 Prof. Constantin Cranganu Brooklyn College of the City University of New York Learning Objectives: Students
More informationGlobally Estimating the Population Characteristics of Small Geographic Areas. Tom Fitzwater
Globally Estimating the Population Characteristics of Small Geographic Areas Tom Fitzwater U.S. Census Bureau Population Division What we know 2 Where do people live? Difficult to measure and quantify.
More information3. What is the etymology (how the word came to be) of geography. 4. How does the study of physical geography differ from that of human geography?
AP Human Geography Unit 1: Basic Concepts and Development Guided Reading Mr. Stepek Directions: Follow the common directions distributed to you for guided reading assignments. Rubenstein p 2 5 (Introduction)
More informationEverything 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 informationSpatial Trends of unpaid caregiving in Ireland
Spatial Trends of unpaid caregiving in Ireland Stamatis Kalogirou 1,*, Ronan Foley 2 1. NCG Affiliate, Thoukididi 20, Drama, 66100, Greece; Tel: +30 6977 476776; Email: skalogirou@gmail.com; Web: http://www.gisc.gr.
More informationSpatial Variation in Infant Mortality with Geographically Weighted Poisson Regression (GWPR) Approach
Spatial Variation in Infant Mortality with Geographically Weighted Poisson Regression (GWPR) Approach Kristina Pestaria Sinaga, Manuntun Hutahaean 2, Petrus Gea 3 1, 2, 3 University of Sumatera Utara,
More informationDownloaded from
GIST OF THE LESSON: General patternsof population distribution in the world, density of population, factors influencing the distribution of population, population growth, trends in population growth, doubling
More informationA Space-Time Model of Fertility and Development in China, Katherine King University of Michigan
A Space-Time Model of Fertility and Development in China, 1982-2000 Katherine King University of Michigan Abstract Although China is extremely regionally diverse and fertility policy is implemented at
More informationEnquiry question: How does the world s climate system function, why does it change and how can this be hazardous for people?
Content Topic 1: Hazardous Earth Enquiry question: How does the world s climate system function, why does it change and how can this be hazardous for people? 1.1 The atmosphere operates as a global system
More informationModeling Land Use Change Using an Eigenvector Spatial Filtering Model Specification for Discrete Response
Modeling Land Use Change Using an Eigenvector Spatial Filtering Model Specification for Discrete Response Parmanand Sinha The University of Tennessee, Knoxville 304 Burchfiel Geography Building 1000 Phillip
More informationBig-Geo-Data EHR Infrastructure Development for On-Demand Analytics
Big-Geo-Data EHR Infrastructure Development for On-Demand Analytics Sohayla Pruitt, MA Senior Geospatial Scientist Duke Medicine DUHS DHTS EIM HIRS Page 1 Institute of Medicine, World Health Organization,
More informationSpatial Analysis and Modeling of Urban Land Use Changes in Lusaka, Zambia: A Case Study of a Rapidly Urbanizing Sub- Saharan African City
Spatial Analysis and Modeling of Urban Land Use Changes in Lusaka, Zambia: A Case Study of a Rapidly Urbanizing Sub- Saharan African City January 2018 Matamyo SIMWANDA Spatial Analysis and Modeling of
More informationSecondary Towns, Population and Welfare in Mexico
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Secondary Towns, Population and Welfare in Mexico Isidro Soloaga Department of Economics, Universidad Iberoamericana,
More informationIntegration of Geo spatial and Statistical Information: The Nepelese Experience
Integration of Geo spatial and Statistical Information: The Nepelese Experience Krishna Raj B.C. Joint Secretary Ministry of Land Reform and Management, Nepal 11 June, 2014 Presentation Outline The Country
More informationEXPLORATORY 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 informationAnalysis of Post-Local Government Proliferation Practice on Socioeconomic Change in Nias
International Journal of Progressive Sciences and Technologies (IJPSAT) ISSN: 2509-0119. 2018International Journals of Sciences and High Technologies http://ijpsat.ijsht-journals.org Vol. 9 No. 2 July
More informationFinal 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 informationCHILD SAFETY COUNTRY PROFILE Slovenia
CHILD SAFETY COUNTRY PROFILE 2012 Slovenia The Child Safety Country Profile 2012 for Slovenia highlights the burden of child and adolescent injury and examines socio-demographic determinants to provide
More informationTravel behavior of low-income residents: Studying two contrasting locations in the city of Chennai, India
Travel behavior of low-income residents: Studying two contrasting locations in the city of Chennai, India Sumeeta Srinivasan Peter Rogers TRB Annual Meet, Washington D.C. January 2003 Environmental Systems,
More informationCurriculum Unit. Instructional Unit #1
Curriculum Unit Name of Course: AP Human Geography Grade Level(s): 9-12 Brief Description (Course Catalog): The purpose of the AP Human Geography course is to introduce students to the systematic study
More informationLand Use/Cover Changes & Modeling Urban Expansion of Nairobi City
Land Use/Cover Changes & Modeling Urban Expansion of Nairobi City Overview Introduction Objectives Land use/cover changes Modeling with Cellular Automata Conclusions Introduction Urban land use/cover types
More informationCHILD SAFETY COUNTRY PROFILE Croatia
CHILD SAFETY COUNTRY PROFILE 2012 Croatia The Child Safety Country Profile 2012 for Croatia highlights the burden of child and adolescent injury and examines socio-demographic determinants to provide a
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 informationVanessa Nadalin Lucas Mation IPEA - Institute for Applied Economic Research Regional Studies Association Global Conference Fortaleza 2014
Spatial distribution of sanitation and income inequality in Brazilian Slums Vanessa Nadalin Lucas Mation IPEA - Institute for Applied Economic Research Regional Studies Association Global Conference Fortaleza
More informationBUILDING SOUND AND COMPARABLE METRICS FOR SDGS: THE CONTRIBUTION OF THE OECD DATA AND TOOLS FOR CITIES AND REGIONS
BUILDING SOUND AND COMPARABLE METRICS FOR SDGS: THE CONTRIBUTION OF THE OECD DATA AND TOOLS FOR CITIES AND REGIONS STATISTICAL CAPACITY BUILDING FOR MONITORING OF SUSTAINABLE DEVELOPMENT GOALS Lukas Kleine-Rueschkamp
More informationESTIMATE THE REGRESSION COEFFICIENTS OF VARIABLES SPL. REFERENCE TO FERTILITY
ESTIMATE THE REGRESSION COEFFICIENTS OF VARIABLES SPL. REFERENCE TO FERTILITY *Poonam Kumari, # Dr. Mukesh Joshi Research Scholar, Dept. of Mathematics, CMJ University, Shillong, Meghalaya HOD Department
More informationSPACE Workshop NSF NCGIA CSISS UCGIS SDSU. Aldstadt, Getis, Jankowski, Rey, Weeks SDSU F. Goodchild, M. Goodchild, Janelle, Rebich UCSB
SPACE Workshop NSF NCGIA CSISS UCGIS SDSU Aldstadt, Getis, Jankowski, Rey, Weeks SDSU F. Goodchild, M. Goodchild, Janelle, Rebich UCSB August 2-8, 2004 San Diego State University Some Examples of Spatial
More informationLecture 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 informationJOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.625, ISSN: , Volume 2, Issue 11, December 2014
HUMAN DEVELOPMENT INDEX: A SPECIAL FOCUS ON BRICS COUNTRIES N.GURUVEERA KUMAR* P.KONDAIAH** PROF. D.KRISHNAMOORTHY*** *Academic Consultant, Dept. of Econometrics, S. V. University, Tirupati, A.P., India
More information(quantitative or categorical variables) Numerical descriptions of center, variability, position (quantitative variables)
3. Descriptive Statistics Describing data with tables and graphs (quantitative or categorical variables) Numerical descriptions of center, variability, position (quantitative variables) Bivariate descriptions
More informationAP Human Geography Syllabus
AP Human Geography Syllabus Textbook The Cultural Landscape: An Introduction to Human Geography. Rubenstein, James M. 10 th Edition. Upper Saddle River, N.J.: Prentice Hall 2010 Course Objectives This
More informationHUMAN CAPITAL CATEGORY INTERACTION PATTERN TO ECONOMIC GROWTH OF ASEAN MEMBER COUNTRIES IN 2015 BY USING GEODA GEO-INFORMATION TECHNOLOGY DATA
International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 11, November 2017, pp. 889 900, Article ID: IJCIET_08_11_089 Available online at http://http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=8&itype=11
More informationExploratory Spatial Data Analysis and GeoDa
Exploratory Spatial Data Analysis and GeoDa Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign http://sal.agecon.uiuc.edu Outline
More informationMotorization in Asia: 14 countries and three metropolitan areas. Metin Senbil COE Researcher COE Seminar
Motorization in Asia: 14 countries and three metropolitan areas Metin Senbil COE Researcher COE Seminar - 2006.10.20 1 Outline Background Motorization in Asia: 14 countries Kuala Lumpur, Manila, Jabotabek
More informationCluster Analysis using SaTScan
Cluster Analysis using SaTScan Summary 1. Statistical methods for spatial epidemiology 2. Cluster Detection What is a cluster? Few issues 3. Spatial and spatio-temporal Scan Statistic Methods Probability
More informationGIS Analysis: Spatial Statistics for Public Health: Lauren M. Scott, PhD; Mark V. Janikas, PhD
Some Slides to Go Along with the Demo Hot spot analysis of average age of death Section B DEMO: Mortality Data Analysis 2 Some Slides to Go Along with the Demo Do Economic Factors Alone Explain Early Death?
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 informationMapping and Analysis for Spatial Social Science
Mapping and Analysis for Spatial Social Science Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign http://sal.agecon.uiuc.edu Outline
More informationES103 Introduction to Econometrics
Anita Staneva May 16, ES103 2015Introduction to Econometrics.. Lecture 1 ES103 Introduction to Econometrics Lecture 1: Basic Data Handling and Anita Staneva Egypt Scholars Economic Society Outline Introduction
More informationPoverty and Hazard Linkages
Poverty and Hazard Linkages Global Risk Identification Programme Proposal Development Coordination Meeting Friday, 19 May 2006 CIESIN Earth Institute Columbia University www.ciesin.columbia.edu Data Improvements
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 informationMultidimensional Poverty in Colombia: Identifying Regional Disparities using GIS and Population Census Data (2005)
Multidimensional Poverty in Colombia: Identifying Regional Disparities using GIS and Population Census Data (2005) Laura Estrada Sandra Liliana Moreno December 2013 Aguascalientes, Mexico Content 1. Spatial
More informationJun Tu. Department of Geography and Anthropology Kennesaw State University
Examining Spatially Varying Relationships between Preterm Births and Ambient Air Pollution in Georgia using Geographically Weighted Logistic Regression Jun Tu Department of Geography and Anthropology Kennesaw
More informationSpatial correlation and demography.
Spatial correlation and demography. Sébastien Oliveau, Christophe Guilmoto To cite this version: Sébastien Oliveau, Christophe Guilmoto. Spatial correlation and demography.: Exploring India s demographic
More informationModeling 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 informationGlobal Atmospheric Circulation. Past climate change and natural causes. Global climate change and human activity
GCSE Geography Edexcel B Revision Checklist Paper 1. Global Geographical Issues Topic 1. Hazardous Earth Key Idea I know/ understand The world s climate system Global Atmospheric Circulation Past climate
More informationPoverty statistics in Mongolia
HIGH-LEVEL SEMINAR ON HARMONISATION OF POVERTY STATISTICS IN CIS COUNTRIES SOCHI (RUSSIAN FEDERATION) Poverty statistics in Mongolia Oyunchimeg Dandar Director Population and Social Statistics Department,
More informationPoverty and Inclusion in the West Bank and Gaza. Tara Vishwanath and Roy Van der Weide
Poverty and Inclusion in the West Bank and Gaza Tara Vishwanath and Roy Van der Weide Oslo accord created a fragmented territory, with no Palestinian control over Area C Overlaid by a regime of internal
More informationVulnerability of Bangladesh to Cyclones in a Changing Climate
Vulnerability of Bangladesh to Cyclones in a Changing Climate Susmita Dasgupta Kiran Pandey Mainul Huq Zahirul Huq Khan M.M. Zahid Ahmed Nandan Mukherjee Malik Fida Khan 2010 Bangladesh: Tropical Cyclone
More information