GIS and the 2020 Census: Modernizing Official Statistics

GIS and the 2020 Census: Modernizing Official Statistics

GIS and the 2020 Census: Modernizing Official Statistics

GIS and the 2020 Census: Modernizing Official Statistics


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Census workers need to capture and analyze information at the finest geographic level with mobile and geospatial-based technology.

GIS and the 2020 Census: Modernizing Official Statistics guides statistical organizations with the most recent GIS methodologies and technological tools to support census workers’ needs at all the stages of a census. Learn how to plan and carry out census work with GIS using new technologies for field data collection and operations management. After planning and collecting data, apply innovative solutions for performing statistical analysis, data integration and dissemination. Additional topics cover cloud computing, big data, location as a Service (LaaS), and emerging data sources.

While GIS and the 2020 Census focuses on using GIS and other geospatial technology in support of census planning and operations, it also offers guidelines for building a statistical-geospatial information infrastructure in support of the 2020 Round of Censuses, evidence-based decision-making, and sustainable development.  Case studies illustrate concepts in practice.

Product Details

ISBN-13: 9781589485044
Publisher: Esri Press
Publication date: 06/10/2019
Pages: 264
Product dimensions: 7.90(w) x 9.90(h) x 0.80(d)

About the Author

Amor Laaribi has a PhD in geomatics sciences and over 30 years of experience in geospatial information for decision-making and development. He joined the United Nations Statistics Division (UNSD) in 2000 to define and plan the priorities of the division in geospatial information and to promote its use with census mapping in developing countries. He contributed to the foundation of the UN Committee of Experts on Global Geospatial Information Management (UN-GGIM) and acted as secretary of the UN Expert Group on the Integration of Statistical and Geospatial Information (UN-EG-ISGI) since its inception. He also acted as the secretary of UN Regional Cartographic Conferences and the UN Group of Experts on Geographical Names (UNGEGN). Prior to the UN, he worked for 10 years as a senior engineer in applied numerical analysis, conducted a 4-year pioneering PhD research on GIS and multi-criteria analysis for Spatial Decision Support Systems, and acted for five years as Advisor to the Tunisian Minister of Economic Development for their national geospatial information strategy (GEONAT).

Linda Peters has a bachelor’s degree in geography and over 20 years of experience in the geospatial industry. In her 14 years at Esri, she has consulted with companies across many industries, helping them achieve greater efficiencies through spatial and location analysis. She works with National Statistical Offices (NSOs) across the globe, helping them understand how to apply geographic methods and analysis to census and statistical activities. In 2014, she wrote Esri’s Massive Open Online Course (MOOC) “The Location Advantage,” to teach how to apply geospatial technology to business.

Table of Contents

Foreword vii

Preface xi

Contributions and acknowledgments xiii

Chapter 1 Introduction 1

Rationale, scope, and purpose 2

Importance of the integration of statistical and geospatial data 5

Chapter 2 The role of GIS in census 9

Planning the census process with GIS 10

Needs assessment 16

Success factors 22

What is the GSGF? 25

The GSGF principles-goals and objectives 25

Considerations for rapid changes in technology 30

Esri World Population Estimate 32

Chapter 3 Changing technology 37

Five key trends in GIS 38

Other key trends 43

Chapter 4 Establishing the foundation-the geodatabase 51

What is a geodatabase? 52

Spatial data structures 53

Spatial data models 56

Geospatial database design 59

Database modeling 59

Defining census geography 65

Enumeration areas 70

Geographic coding 72

Case study: Albania 76

Chapter 5 Imagery 85

Introduction 86

Key imagery use cases for national census programs 87

Support for key enumeration business processes 88

Image-processing techniques that support the enumeration process 88

Imagery characteristics important for NSOs

Sources of imagery content for national imagery programs 94

Implementation 97

Case study: Portugal 99

Chapter 6 Planning your work with GIS 103

EA delineation process 104

Maps and sources required 106

Conversion of existing data (analog/digital) 108

Use of imagery in updating EAs 109

Data quality and metadata 119

Creating map services and mobile map packages in support of census operations 127

Use of GIS for optimizing the site placement of field offices 129

Use of GIS for optimizing capital and asset distribution 130

EA optimization 132

Case study: Republic of the Philippines 134

Chapter 7 Use of geospatial tools during enumeration 141

Fieldwork benefits of using GIS/GPS and imagery 142

Field data collection 145

Case study: Jordan 150

Field operations management 152

Optimizing workloads 153

Optimizing routes 154

Monitoring the progress of census operations 156

Project management oversight and identifying trouble spots 157

US Census: Mobilizing field operations 158

Case study: Arab Republic of Egypt 159

Chapter 8 Post-enumeration-processing 165

Updating and verifying changes to the database 166

Aggregation 168

Database archiving and maintenance 170

Open platform and system interoperability 171

Case study: Ireland 173

Chapter 9 Post-enumeration-dissemination and analysis 179

Dissemination strategies 180

Level of data release (geographic) 182

GIS role in creating products for dissemination 194

Case study: Nepal 205

Case study: Canada 209

Chapter 10 Marketing geographic products and data 217

Marketing communication plans 218

2020 US Census-future data dissemination and integrated communication plan 219

Chapter 11 Contemporary ideas 225

ArcGIS® Hub 226

Smarter maps 228

Spatial analysis 229

GeoAl 231

Geoblockchain 232

Appendix: Acronyms 237

Index 241

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