This document analyzes urban growth in Ethiopia between 1984 and 2007 using GIS data and modeling. It finds that Ethiopia experienced increasing urbanization over this period, with the percentage of urban population rising from 3.7% in 1984 to 14.2% in 2007. Major cities expanded and became more connected by transportation infrastructure, forming urban corridors and networks. Regional urbanization rates also increased substantially, especially in Oromia, Amhara, and SNNP regions, which saw more cities with over 50,000 residents and greater population densities along transportation routes.
This document discusses the role of remote sensing and GIS in regional planning. It outlines how regional planning coordinates economic and social activities over a sub-national area and acts as a link between local and national planning. Effective regional planning requires detailed data on physical, demographic, economic and social factors. Remote sensing provides updated spatial data on land use, soil, drainage patterns and other natural resources. When integrated with socio-economic data in a GIS, this allows planners to identify resource availability, project future needs, and determine gaps to inform development plans at the regional level.
Analysis Of Influence Of Spatial Planning On Performance Of Regional Developm...Suwandi, Dr. SE.,MSi
The various problems in regional spatial planning in Waropen District, Papua, shows that the Spatial Planning (RTRW) of Waropen District, Papua, drafted in 2010 has not had a positive contribution to the settlement of spatial planning problems. This is most likely caused by the inconsistency in the spatial planning. This study tried to observe the consistency of spatial planning as well as its relation to the regional development performance. The method used to observe the consistency of the preparation of guided Spatial Planning (RTRW) is the analysis of comparative table followed by analysis of verbal logic. In order to determine if the preparation of Spatial Planning (RTRW) has already paid attention on the synergy with the surrounding regions (Inter-Regional Context), a map overlay was conducted, followed by analysis of verbal logic. To determine the performance of the regional development, a Principal Components Analysis (PCA) was done. The analysis results showed that inconsistencies in the spatial planning had caused a variety of problems that resulted in decreased performance of the regional development. The main problems that should receive more attention are: infrastructure, development growth, economic growth, transportation aspect and new properties.
Plan4all is an EU project that aims to harmonize spatial planning data across countries according to INSPIRE directives. It involves 24 partners from 14 EU countries working to develop metadata profiles, data models, and a networking architecture to allow seamless access and sharing of spatial planning data themes like land use and natural risk zones. The project will validate these tools and establish a geoportal to deploy harmonized data. The overall goal is to facilitate cross-border collaboration on spatial planning issues through interoperable data standards.
This document provides an overview of geographic information technology (GIT) and its relevance to statistical agencies in Africa. It discusses challenges with census taking and data collection in Africa, and how GIT can help address issues of accessibility, use, and lack of funding and base data. GIT such as GIS, GPS, and remote sensing can assist with planning, implementing, and monitoring development goals by providing accurate spatial data and analysis to quantify and address problems like poverty, health, and infrastructure. The document serves as a reference guide on GIT principles, data sources and management, analysis techniques, and implementing GIS systems, with the goal of building comprehensive geo-statistical databases for decision making and development in African countries.
Iirs lecture space inputs to disaster management in indiaTushar Dholakia
India is highly vulnerable to natural disasters due to its unique geodynamics. Space applications like remote sensing, GIS, and satellite communications have helped reduce this vulnerability by enabling early warning, event monitoring, impact assessment, and hazard zonation. However, more effective utilization of these technologies is still needed, especially at the community level. The Disaster Management Support program of India's Department of Space aims to strengthen disaster management through services like rapid mapping, damage assessment, and search and rescue using space assets. Emergency Resource Centers will also be set up to disseminate warnings and provide connectivity, telemedicine, and training to vulnerable communities.
Multidisciplinary research and GIS techniques in language history studies: f...Pierpaolo Di Carlo
Geographic Information Systems can be usefully applied to reconstruct the sociolinguistic history of areas, like Lower Fungom, characterised by unusual rates of linguistic diversity. This is an early (2011) attempt at using mixed methods and field data for this purpose. Originally presented at the workshop "Methodology in Linguistic Prehistory", held at the Humboldt University, Berlin, 15–16 October 2011.
This document discusses the role of remote sensing and GIS in regional planning. It outlines how regional planning coordinates economic and social activities over a sub-national area and acts as a link between local and national planning. Effective regional planning requires detailed data on physical, demographic, economic and social factors. Remote sensing provides updated spatial data on land use, soil, drainage patterns and other natural resources. When integrated with socio-economic data in a GIS, this allows planners to identify resource availability, project future needs, and determine gaps to inform development plans at the regional level.
Analysis Of Influence Of Spatial Planning On Performance Of Regional Developm...Suwandi, Dr. SE.,MSi
The various problems in regional spatial planning in Waropen District, Papua, shows that the Spatial Planning (RTRW) of Waropen District, Papua, drafted in 2010 has not had a positive contribution to the settlement of spatial planning problems. This is most likely caused by the inconsistency in the spatial planning. This study tried to observe the consistency of spatial planning as well as its relation to the regional development performance. The method used to observe the consistency of the preparation of guided Spatial Planning (RTRW) is the analysis of comparative table followed by analysis of verbal logic. In order to determine if the preparation of Spatial Planning (RTRW) has already paid attention on the synergy with the surrounding regions (Inter-Regional Context), a map overlay was conducted, followed by analysis of verbal logic. To determine the performance of the regional development, a Principal Components Analysis (PCA) was done. The analysis results showed that inconsistencies in the spatial planning had caused a variety of problems that resulted in decreased performance of the regional development. The main problems that should receive more attention are: infrastructure, development growth, economic growth, transportation aspect and new properties.
Plan4all is an EU project that aims to harmonize spatial planning data across countries according to INSPIRE directives. It involves 24 partners from 14 EU countries working to develop metadata profiles, data models, and a networking architecture to allow seamless access and sharing of spatial planning data themes like land use and natural risk zones. The project will validate these tools and establish a geoportal to deploy harmonized data. The overall goal is to facilitate cross-border collaboration on spatial planning issues through interoperable data standards.
This document provides an overview of geographic information technology (GIT) and its relevance to statistical agencies in Africa. It discusses challenges with census taking and data collection in Africa, and how GIT can help address issues of accessibility, use, and lack of funding and base data. GIT such as GIS, GPS, and remote sensing can assist with planning, implementing, and monitoring development goals by providing accurate spatial data and analysis to quantify and address problems like poverty, health, and infrastructure. The document serves as a reference guide on GIT principles, data sources and management, analysis techniques, and implementing GIS systems, with the goal of building comprehensive geo-statistical databases for decision making and development in African countries.
Iirs lecture space inputs to disaster management in indiaTushar Dholakia
India is highly vulnerable to natural disasters due to its unique geodynamics. Space applications like remote sensing, GIS, and satellite communications have helped reduce this vulnerability by enabling early warning, event monitoring, impact assessment, and hazard zonation. However, more effective utilization of these technologies is still needed, especially at the community level. The Disaster Management Support program of India's Department of Space aims to strengthen disaster management through services like rapid mapping, damage assessment, and search and rescue using space assets. Emergency Resource Centers will also be set up to disseminate warnings and provide connectivity, telemedicine, and training to vulnerable communities.
Multidisciplinary research and GIS techniques in language history studies: f...Pierpaolo Di Carlo
Geographic Information Systems can be usefully applied to reconstruct the sociolinguistic history of areas, like Lower Fungom, characterised by unusual rates of linguistic diversity. This is an early (2011) attempt at using mixed methods and field data for this purpose. Originally presented at the workshop "Methodology in Linguistic Prehistory", held at the Humboldt University, Berlin, 15–16 October 2011.
The first ever Soil Atlas of Asia, A partnership to raise awareness of a crit...ExternalEvents
This presentation was presented during the Asian Soil Partnership workshop that took place in Bangkok 14-16 December 2017. The presentation was made by Arwyn Jones from the european Commission, DG Joint Research Center
http://www.fao.org/global-soil-partnership/en/
An Overview of the Functions of Abuja Geographic Information System (AGIS) As...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online
This document discusses geographic information systems (GIS) and their applications in public health. GIS allows users to capture, store, analyze and visualize spatial health data on maps. It has been used historically to identify relationships between location and disease. Today, GIS supports public health planning and management by helping to optimize resource allocation, target interventions, and monitor disease trends and the impact of interventions over time.
Status and Perspectives of GIS Application in BANGLADESHBayes Ahmed
This is the final presentation of the course GIS Applications in Developing Countries. This course was a part of the Erasmus Mundus Master in Geospatial Technologies offered in Westfälische Wilhelms-Universität Münster (WWU), Institute for Geoinformatics (ifgi), Münster, Germany.
GIS Data Availability in Bangladesh_FinalRazimulseye
The document summarizes geospatial data availability and GIS capacity in Bangladesh. It outlines common datasets like administrative boundaries up to the upazila level, populated places, transportation networks, and hydrology available from government agencies. Project-specific malaria data includes cases, LLIN and ACT distribution, and health facilities at the upazila level or below. Climate and population data is also available. Some data has coordinates and some does not. Important free spatial data websites for Bangladesh data are also listed.
The document discusses efforts by the West Virginia GIS-Surveying Committee to promote cooperation and understanding between surveyors and GIS professionals. The Committee worked to clarify the differences between surveying and GIS mapping based on the National Council of Examiners for Engineering and Surveying's Model Law and Rules. This included distinguishing between original land measurement and locational referencing in maps. The Committee aims to encourage best practices for metadata, disclaimers, and certification to avoid disputes over boundaries of professional practice between the two fields.
land use land cover change detection in a part of ramganga river basin, at ...INFOGAIN PUBLICATION
This document analyzes land use and land cover change between 1979 and 2009 in Bareilly district, Uttar Pradesh, India using satellite imagery. Unsupervised classification of 1979 and 2009 images identified settlements, croplands, vegetation/plantations, water bodies, and waste land. Results showed increasing crop land and built up area, and decreasing vegetation and plantations. Specifically, vegetation/forest cover decreased from 44% to 17% of the area as land was converted to cropland, settlements, and waste land. Cropland increased from 44% to 55% and settlements increased from 6% to 17% of the area. This land conversion was driven by population growth and economic development.
This document discusses spatial analysis and analysis tools. It begins by defining spatial analysis as techniques for analyzing spatial data where the results depend on object locations. It then describes 7 types of spatial analysis: spatial data analysis, spatial autocorrelation, spatial interpolation, spatial regression, spatial interaction, simulation and modelling, and multiple-point geostatistics. The document also discusses various analysis toolsets including map algebra, math tools, multi-variate tools, neighborhood tools, raster tools, reclassification tools, and solar radiation tools. It emphasizes that spatial analysis is useless without spatial infographics and visualization.
Konstantin Greger - Spatial Methodologies for the Analysis of Vulnerability i...Konstantin Greger
This document summarizes a study that analyzed the spatial vulnerability of urban areas to terrorism in Tokyo, Japan. It presented a methodology for identifying susceptibility factors like building population and traffic flow. A case study analyzed these factors for an area of central Tokyo using spatial data on buildings, demographics and transportation. The factors were operationalized and weighted to create vulnerability maps showing hotspots over time. The study provided insights into defining attributes that affect terrorism risk and visualized micro-scale spatial patterns of vulnerability to inform authorities and raise public awareness.
This document is the 2015 State of Ethiopian Cities Report produced by the Ministry of Urban Development, Housing and Construction and the Ethiopian Civil Service University. It provides an overview of the table of contents which includes 27 chapters covering topics like population dynamics and urbanization trends, urban productivity, infrastructure and services, housing, inclusion and poverty, urban planning, governance and finance. It discusses the objectives of the report, methodology used and structure. Key data and findings are presented in tables, figures, maps and boxes throughout the various sections of the report.
Population and Housing Census Atlas of Ethiopia 2007essp2
Ethiopian Development Research Institute (EDRI) and International Food Policy Research Institute (IFPRI), CSA Atlas Launch, November 28, 2010 at UNECA Conference Hall
Finding Meaning in Points, Areas and Surfaces: Spatial Analysis in RRevolution Analytics
Everything happens somewhere and spatial analysis attempts to use location as an explanatory variable. Such analysis is made complex by the very many ways we habitually record spatial location, the complexity of spatial data structures, and the wide variety of possible domain-driven questions we might ask. One option is to develop and use software for specific types of spatial data, another is to use a purpose-built geographical information system (GIS), but determined work by R enthusiasts has resulted in a multiplicity of packages in the R environment that can also be used.
Tim Stonor Predictive analytics using Space Syntax technologyTim Stonor
Tim Stonor presents on predictive analytics for urban planning. He discusses several key discoveries from research using spatial analytics: (1) layout influences human behavior, (2) spatial layout distributes land use and influences crime and safety, (3) spatial layout determines land value, and (4) layout affects carbon footprint. He advocates for an integrated urban model and data-driven approach to address challenges in urban planning.
The National Integrated Household Survey Program (NIHSP) enables a national statistical office to run a number of annual national socio economic and demographic surveys using the office’s available infrastructure, field staffs (enumerators, supervisors, drivers …. etc), logistic support, data processing facilities …etc.
Taskin urdpfichapter7-. Urban and regional development plans formulatio and ...smilingqueen2
URDPFI, which stands for Urban and Regional Development Plans Formulation and Implementation, provides guidelines intended to streamline the planning process for urban and regional development in India. Chapter 7 of the URDPFI Guidelines focuses on data collection, survey methodologies, analysis, projections, and mapping essential for urban planning.
This chapter describes various techniques for collecting and processing data that planners need to create effective urban development plans. It includes simplified methods for conducting surveys, analyzing collected data, and using this information to make informed projections and mapping decisions. The chapter emphasizes the importance of having accurate and comprehensive data to support the formulation of regional and urban development plans [[❞]](http://cdn.cseindia.org/userfiles/URDPFI.pdf#:~:text=URL%3A%20http%3A%2F%2Fcdn.cseindia.org%2Fuserfiles%2FURDPFI.pdf%0AVisible%3A%200%25%20) [[❞]](https://mohua.gov.in/cms/urdpfi-guidelines.php).
For more detailed information, you can refer to the [URDPFI Guidelines document](http://cdn.cseindia.org/userfiles/URDPFI.pdf) [[❞]](http://cdn.cseindia.org/userfiles/URDPFI.pdf#:~:text=URL%3A%20http%3A%2F%2Fcdn.cseindia.org%2Fuserfiles%2FURDPFI.pdf%0AVisible%3A%200%25%20).
This document provides an overview of techniques for data collection, analysis, mapping, and development planning for urban and regional plans. It describes primary and secondary data collection methods including surveys, published/unpublished sources, and mapping. Key steps in the planning process are outlined, such as land use analysis, population and economic projections, suitability analysis, infrastructure assessments, and creating base maps. The use of GIS and geospatial portals like Bhuvan are also discussed for analyzing data, creating scenarios, and disseminating plans.
This document discusses geographic information systems (GIS) and their uses in public health. It begins with defining GIS as a system for capturing, storing, editing, integrating, querying, analyzing and distributing geographic data. It then provides a brief history of GIS and its use in public health applications since the 19th century. Examples are given of how GIS has been used by organizations like the WHO for disease mapping and surveillance. The advantages of GIS for public health include improved understanding of community health needs, analysis of health emergencies, and planning interventions.
What is the current situation related to Food Security? How can geospatial technologies including - remote sensing and GIS help this, by improving aspects related to agriculture, food distribution? How are organizations like NASA, FAO using this technology in this aspect?
XIIa - Sudan Soil Information System (SUSIS)Soils FAO-GSP
The document discusses developing a Soil Information System (SUSIS) for Sudan using Digital Soil Mapping techniques. It notes that Sudan has highly variable rainfall and drought is common. It lacks an integrated system to manage agricultural land and monitor soil status. SUSIS would provide soil data and maps to support food security, climate adaptation/mitigation, and land management. Developing SUSIS requires digitizing legacy soil data, building staff skills in information management, and mapping key soil properties on pilot areas. Challenges include developing standards, training soil scientists, and ensuring users accept new map and data formats.
Basuti Bolo Gerty Mathangwane completed her Master's degree in Information Systems at BIUST, becoming the first post-graduate student to do so. Her research developed a geospatial information model to evaluate land quality for rain-fed farming in Botswana. The model identified land parcels suitable for growing sorghum, a staple crop, and found that only 18% of suitable land was currently being used for sorghum farming. This suggests that improved land evaluation could increase agricultural production and help reduce poverty and food imports in Botswana. Mathangwane hopes to continue her research with a PhD focusing on precision farming using drones.
The first ever Soil Atlas of Asia, A partnership to raise awareness of a crit...ExternalEvents
This presentation was presented during the Asian Soil Partnership workshop that took place in Bangkok 14-16 December 2017. The presentation was made by Arwyn Jones from the european Commission, DG Joint Research Center
http://www.fao.org/global-soil-partnership/en/
An Overview of the Functions of Abuja Geographic Information System (AGIS) As...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online
This document discusses geographic information systems (GIS) and their applications in public health. GIS allows users to capture, store, analyze and visualize spatial health data on maps. It has been used historically to identify relationships between location and disease. Today, GIS supports public health planning and management by helping to optimize resource allocation, target interventions, and monitor disease trends and the impact of interventions over time.
Status and Perspectives of GIS Application in BANGLADESHBayes Ahmed
This is the final presentation of the course GIS Applications in Developing Countries. This course was a part of the Erasmus Mundus Master in Geospatial Technologies offered in Westfälische Wilhelms-Universität Münster (WWU), Institute for Geoinformatics (ifgi), Münster, Germany.
GIS Data Availability in Bangladesh_FinalRazimulseye
The document summarizes geospatial data availability and GIS capacity in Bangladesh. It outlines common datasets like administrative boundaries up to the upazila level, populated places, transportation networks, and hydrology available from government agencies. Project-specific malaria data includes cases, LLIN and ACT distribution, and health facilities at the upazila level or below. Climate and population data is also available. Some data has coordinates and some does not. Important free spatial data websites for Bangladesh data are also listed.
The document discusses efforts by the West Virginia GIS-Surveying Committee to promote cooperation and understanding between surveyors and GIS professionals. The Committee worked to clarify the differences between surveying and GIS mapping based on the National Council of Examiners for Engineering and Surveying's Model Law and Rules. This included distinguishing between original land measurement and locational referencing in maps. The Committee aims to encourage best practices for metadata, disclaimers, and certification to avoid disputes over boundaries of professional practice between the two fields.
land use land cover change detection in a part of ramganga river basin, at ...INFOGAIN PUBLICATION
This document analyzes land use and land cover change between 1979 and 2009 in Bareilly district, Uttar Pradesh, India using satellite imagery. Unsupervised classification of 1979 and 2009 images identified settlements, croplands, vegetation/plantations, water bodies, and waste land. Results showed increasing crop land and built up area, and decreasing vegetation and plantations. Specifically, vegetation/forest cover decreased from 44% to 17% of the area as land was converted to cropland, settlements, and waste land. Cropland increased from 44% to 55% and settlements increased from 6% to 17% of the area. This land conversion was driven by population growth and economic development.
This document discusses spatial analysis and analysis tools. It begins by defining spatial analysis as techniques for analyzing spatial data where the results depend on object locations. It then describes 7 types of spatial analysis: spatial data analysis, spatial autocorrelation, spatial interpolation, spatial regression, spatial interaction, simulation and modelling, and multiple-point geostatistics. The document also discusses various analysis toolsets including map algebra, math tools, multi-variate tools, neighborhood tools, raster tools, reclassification tools, and solar radiation tools. It emphasizes that spatial analysis is useless without spatial infographics and visualization.
Konstantin Greger - Spatial Methodologies for the Analysis of Vulnerability i...Konstantin Greger
This document summarizes a study that analyzed the spatial vulnerability of urban areas to terrorism in Tokyo, Japan. It presented a methodology for identifying susceptibility factors like building population and traffic flow. A case study analyzed these factors for an area of central Tokyo using spatial data on buildings, demographics and transportation. The factors were operationalized and weighted to create vulnerability maps showing hotspots over time. The study provided insights into defining attributes that affect terrorism risk and visualized micro-scale spatial patterns of vulnerability to inform authorities and raise public awareness.
This document is the 2015 State of Ethiopian Cities Report produced by the Ministry of Urban Development, Housing and Construction and the Ethiopian Civil Service University. It provides an overview of the table of contents which includes 27 chapters covering topics like population dynamics and urbanization trends, urban productivity, infrastructure and services, housing, inclusion and poverty, urban planning, governance and finance. It discusses the objectives of the report, methodology used and structure. Key data and findings are presented in tables, figures, maps and boxes throughout the various sections of the report.
Population and Housing Census Atlas of Ethiopia 2007essp2
Ethiopian Development Research Institute (EDRI) and International Food Policy Research Institute (IFPRI), CSA Atlas Launch, November 28, 2010 at UNECA Conference Hall
Finding Meaning in Points, Areas and Surfaces: Spatial Analysis in RRevolution Analytics
Everything happens somewhere and spatial analysis attempts to use location as an explanatory variable. Such analysis is made complex by the very many ways we habitually record spatial location, the complexity of spatial data structures, and the wide variety of possible domain-driven questions we might ask. One option is to develop and use software for specific types of spatial data, another is to use a purpose-built geographical information system (GIS), but determined work by R enthusiasts has resulted in a multiplicity of packages in the R environment that can also be used.
Tim Stonor Predictive analytics using Space Syntax technologyTim Stonor
Tim Stonor presents on predictive analytics for urban planning. He discusses several key discoveries from research using spatial analytics: (1) layout influences human behavior, (2) spatial layout distributes land use and influences crime and safety, (3) spatial layout determines land value, and (4) layout affects carbon footprint. He advocates for an integrated urban model and data-driven approach to address challenges in urban planning.
The National Integrated Household Survey Program (NIHSP) enables a national statistical office to run a number of annual national socio economic and demographic surveys using the office’s available infrastructure, field staffs (enumerators, supervisors, drivers …. etc), logistic support, data processing facilities …etc.
Taskin urdpfichapter7-. Urban and regional development plans formulatio and ...smilingqueen2
URDPFI, which stands for Urban and Regional Development Plans Formulation and Implementation, provides guidelines intended to streamline the planning process for urban and regional development in India. Chapter 7 of the URDPFI Guidelines focuses on data collection, survey methodologies, analysis, projections, and mapping essential for urban planning.
This chapter describes various techniques for collecting and processing data that planners need to create effective urban development plans. It includes simplified methods for conducting surveys, analyzing collected data, and using this information to make informed projections and mapping decisions. The chapter emphasizes the importance of having accurate and comprehensive data to support the formulation of regional and urban development plans [[❞]](http://cdn.cseindia.org/userfiles/URDPFI.pdf#:~:text=URL%3A%20http%3A%2F%2Fcdn.cseindia.org%2Fuserfiles%2FURDPFI.pdf%0AVisible%3A%200%25%20) [[❞]](https://mohua.gov.in/cms/urdpfi-guidelines.php).
For more detailed information, you can refer to the [URDPFI Guidelines document](http://cdn.cseindia.org/userfiles/URDPFI.pdf) [[❞]](http://cdn.cseindia.org/userfiles/URDPFI.pdf#:~:text=URL%3A%20http%3A%2F%2Fcdn.cseindia.org%2Fuserfiles%2FURDPFI.pdf%0AVisible%3A%200%25%20).
This document provides an overview of techniques for data collection, analysis, mapping, and development planning for urban and regional plans. It describes primary and secondary data collection methods including surveys, published/unpublished sources, and mapping. Key steps in the planning process are outlined, such as land use analysis, population and economic projections, suitability analysis, infrastructure assessments, and creating base maps. The use of GIS and geospatial portals like Bhuvan are also discussed for analyzing data, creating scenarios, and disseminating plans.
This document discusses geographic information systems (GIS) and their uses in public health. It begins with defining GIS as a system for capturing, storing, editing, integrating, querying, analyzing and distributing geographic data. It then provides a brief history of GIS and its use in public health applications since the 19th century. Examples are given of how GIS has been used by organizations like the WHO for disease mapping and surveillance. The advantages of GIS for public health include improved understanding of community health needs, analysis of health emergencies, and planning interventions.
What is the current situation related to Food Security? How can geospatial technologies including - remote sensing and GIS help this, by improving aspects related to agriculture, food distribution? How are organizations like NASA, FAO using this technology in this aspect?
XIIa - Sudan Soil Information System (SUSIS)Soils FAO-GSP
The document discusses developing a Soil Information System (SUSIS) for Sudan using Digital Soil Mapping techniques. It notes that Sudan has highly variable rainfall and drought is common. It lacks an integrated system to manage agricultural land and monitor soil status. SUSIS would provide soil data and maps to support food security, climate adaptation/mitigation, and land management. Developing SUSIS requires digitizing legacy soil data, building staff skills in information management, and mapping key soil properties on pilot areas. Challenges include developing standards, training soil scientists, and ensuring users accept new map and data formats.
Basuti Bolo Gerty Mathangwane completed her Master's degree in Information Systems at BIUST, becoming the first post-graduate student to do so. Her research developed a geospatial information model to evaluate land quality for rain-fed farming in Botswana. The model identified land parcels suitable for growing sorghum, a staple crop, and found that only 18% of suitable land was currently being used for sorghum farming. This suggests that improved land evaluation could increase agricultural production and help reduce poverty and food imports in Botswana. Mathangwane hopes to continue her research with a PhD focusing on precision farming using drones.
This document discusses several applications of GIS technology. It describes how GIS is used in petroleum exploration to integrate geological, drilling and other data to identify potential oil and gas deposits. It also discusses using GIS to model the effects of wetland restoration and to generate ecological maps. Further applications discussed include creating a biomass map of the US to identify methane sources, digitizing road and transportation infrastructure, mobile transport mapping applications, land use planning, and mapping water distribution systems.
This document discusses using remote sensing (RS) and geographic information systems (GIS) to analyze urban sprawl. It presents two case studies: 1) Measuring sprawl in Baguio City, Philippines using Landsat images and Shannon's entropy index in GIS software. Entropy values indicated the dispersion of built-up areas over time. 2) Analyzing sprawl in Jaipur, India using satellite images from 1995-2010 classified in GIS to map land use changes. RS and GIS showed linear, leapfrog, and radial sprawl patterns emerging from the city center.
AURIN is a federated network of data and research hubs that provides researchers access to over 2,000 datasets on the built environment through its online portal. The portal's data and analytical tools have supported research projects at various geographic scales, from the neighborhood to the entire Sydney metropolitan area. Case studies highlighted in the document demonstrate how AURIN has empowered academic research by eliminating the need for researchers to obtain their own data licenses and providing free access to authoritative and standardized urban data.
Access to markets, technologies, and services (Carlo Azzarri, IFPRI)ExternalEvents
Expert consultation on methodology for an information system on rural livelihoods and Sustainable Development Goals indicators on smallholder productivity and income
7 - 8 December, FAO headquarters
Remote sensing has enabled mapping, monitoring and management of various resources like agriculture, forestry, water, and oceans over the last four decades. It has contributed significantly to development in India through applications like groundwater mapping, wasteland monitoring, flood mapping, agriculture monitoring, fisheries forecasting, snow and glacier studies, and forestry assessments. Current and future uses include urban planning through databases and indicators, and watershed development through projects like Sujala in Karnataka. Advances in remote sensing will continue to improve emergency response, mapping, and geospatial information.
'Planning Reform on the island of Ireland: From Policy to Practice', Cooperat...Justin Gleeson
With the impending transfer of statutory planning functions from central government to new councils in Northern Ireland in 2015 under the Review of Public Administration (RPA) and significant changes being made to the planning system in the Republic of Ireland, this aptly timed seminar will provide plenty of opportunity for lively open debate and discussion on the important – and common – planning decisions facing both jurisdictions.
Bringing the Data Alive - Dr. A. GonzalezCiara McCabe
Dr. Ainhoa González discusses how geographic information systems (GIS) allow users to analyze and visualize geographic data to gain new insights. GIS links information to locations, providing a spatial dimension. It has applications in history, demographics, health, crime, transport and land use planning, and environmental assessment. GIS enables analysis of spatial patterns, links, juxtapositions and temporal trends. It also facilitates data management, integration of diverse datasets, and data sharing. Effective use of GIS depends on access to accurate and scale-appropriate data.
1. The document discusses the Palestinian Central Bureau of Statistics' (PCBS) strategy of disseminating data through Public Use Files (PUF).
2. PCBS aims to empower users by making census and survey microdata available for public and special use through PUFs and in statistical libraries.
3. PUFs contain digital data files from surveys and censuses that are treated to preserve confidentiality while being documented for effective user utilization.
Using survey data to predict poverty in relation to financial service access ...insight2impact i2i
This document summarizes methods for predicting and mapping poverty levels using a combination of survey data, geospatial data, and statistical modeling techniques. Household survey data that includes measures of poverty, such as an asset-based Poverty Probability Index (PPI), can be combined with high-resolution geospatial data layers and spatial statistical models to generate predictive maps of poverty levels at fine spatial resolutions, such as 1km pixels. These predicted poverty maps can then be used for targeting interventions, monitoring changes over time, and integrating with other datasets like locations of financial service providers or mobile money usage patterns. The document outlines an example application of these methods to map predicted PPI scores and financial inclusion metrics in Kenya, Uganda, Tanzania,
Global Soil Partnership, European Soil Partnership | Dr Allan Lilly, Chair, E...FAO
This document discusses the Global Soil Partnership and its goals of promoting sustainable soil management. It focuses on Pillar 4 of the partnership which aims to improve soil data and information through monitoring networks and collaborations. Specifically for Europe, it proposes that the European Soil Bureau Network take a lead role in coordinating regional soil data collection and mapping efforts. Key activities would include developing harmonized methodologies and databases to integrate national soil data and facilitate monitoring of soil conditions across Europe.
Similar to INSTITUTEUrbanization and Spatial Connectivity in Ethiopia: Urban Growth Analysis Using GIS (20)
This document discusses constrained multiplier analysis by relaxing the assumption of unlimited factor resources. It introduces the concept of constraining some sectors' production levels to model resource constraints in agriculture, mining, and government services. The constrained multiplier formula is derived, distinguishing between supply-unconstrained and constrained sectors. A matrix format is used to represent the formula, with the constrained multiplier calculated as the inverse of the identity matrix minus an adjusted coefficient matrix, multiplied by the exogenous components matrix. Readers are directed to a worksheet exercise to calculate constrained multipliers using the mathematical equations and Excel functions.
This document provides an introduction to multiplier analysis using social accounting matrices (SAM). It outlines how economic linkages transmit the effects of exogenous demand shocks through an economy. The direct and indirect effects are explained, with indirect effects including consumption and production linkages. An unconstrained SAM multiplier model is presented, with formulas derived to calculate economy-wide output, income, and sectoral responses to exogenous changes in demand. Exercises are provided to build a multiplier model in Excel and calculate multipliers.
The document provides an introduction to social accounting matrices (SAM) and economywide analysis. It discusses key concepts such as:
- SAMs capture the circular flow of income and expenditures between households, firms, government, and the rest of the world.
- Economywide analysis considers how changes in one sector can impact other sectors through economic linkages.
- A SAM shows payments by columns and receipts by rows to ensure double-entry bookkeeping and macroeconomic consistency.
- Building a SAM requires data from various sources like national accounts and household surveys, which are reconciled using statistical techniques.
Panel on ‘Statistical Data for Policy Decision Making in Ethiopia’, African Statistics Day Workshop organized by the Ethiopian Statistics Service (ESS). 17-Nov-22.
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Improving evidence for better policy making in Ethiopia’s livestock sector essp2
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The COVID-19 Pandemic and Food Security in Ethiopia – An Interim Analysisessp2
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COVID-19 and its impact on Ethiopia’s agri-food system, food security, and nu...essp2
The document summarizes the effects of COVID-19 on agricultural value chains in Ethiopia. It discusses how measures taken to prevent spread of the virus, such as closing land borders and restricting movement between regional states, have reduced economic activity. It then outlines an assessment of local rural-urban value chains to understand how the pandemic is impacting farmers' incomes, market access, and food security. The assessment will focus on commodities like potatoes, onions, and tomatoes that rely on transportation between rural and urban areas. Recommendations will be made on how to minimize disruptions to the agricultural sector during this crisis.
This short document does not contain any clear topics, details, or essential information to summarize in 3 sentences or less. It only includes line numbers without any accompanying text.
AFFORDABILITY OF Nutritious foods IN ETHIOPIAessp2
This document summarizes research on the affordability of nutritious diets in Ethiopia. It finds that between 2001 and 2017, the cost of the least expensive diet providing adequate calories and nutrients for an adult woman increased 67% from $0.91 to $1.52. While real prices of some staple foods have decreased in recent years, prices of nutrient-rich foods like dairy, eggs, and meat have increased substantially. However, overall affordability has improved due to rising incomes. Still, ensuring adequate supply of nutritious foods is important to keep their prices low.
The EAT Lancet Publication: Implications for Nutrition Health and Planetessp2
The document discusses a publication by the EAT-Lancet Commission that aimed to define global scientific targets for healthy diets from sustainable food systems. It established a reference diet of 2500 calories per day consisting of vegetables, fruits, whole grains, plant proteins, unsaturated fats, and limited red meat and sugar. Current diets vary widely from this target. The commission also set planetary boundaries related to greenhouse gas emissions, land and water use, and nutrient flows to define a safe operating space for food production. Global modeling was used to identify combinations of measures needed to meet dietary targets sustainably by 2050, such as shifting diets, reducing food waste, and improving agricultural practices.
Sustainable Undernutrition Reduction in Ethiopia (SURE): Evaluation studies essp2
The SURE program is a government-led multisectoral intervention in Ethiopia that aims to reduce undernutrition through a package of interventions like joint household visits, cooking demonstrations, and media campaigns. Evaluation studies of SURE used a quasi-experimental design and found that children's dietary diversity is positively associated with reduced stunting, and that household production of fruits and vegetables was linked to increased child dietary diversity and reduced stunting. However, the studies also found variability in the delivery of nutrition messages across households and limited awareness of nutrition guidelines among local officials.
Policies and Programs on food and Nutrition in Ethiopiaessp2
This document outlines policies and programs on food and nutrition in Ethiopia. It discusses nutrition-specific and nutrition-sensitive interventions, and the pathways through which nutrition-sensitive interventions can affect diet and food systems. It then provides an overview of Ethiopia's policy landscape on food and nutrition, outlining various strategies and policies that aim to improve nutrition, including the Food, Nutrition and Policy, Agriculture Growth Program Phase II, Productive Safety Net Program, and National Nutrition Program. The document concludes that Ethiopia has a favorable policy environment for improving diets and nutrition, but effective implementation, coordination, evidence-based scaling up of interventions, and strong monitoring and evaluation are still needed.
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In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
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AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
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Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
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The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
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This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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INSTITUTEUrbanization and Spatial Connectivity in Ethiopia: Urban Growth Analysis Using GIS
1. Urbanization and Spatial
Connectivity in Ethiopia:
Urban Growth Analysis Using GIS
Mekamu Kedir and Emily Schmidt
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
2. Introduction
The Rural Urban Landscape in Ethiopia
• Of the estimated 73 million people living in Ethiopia (2007),
• 84% live in rural areas and with primarily income from agriculture
• 16% live in urban areas
• These are mostly located in the highland areas that comprise
approximately 35% of Ethiopia‟s territory
• Urbanization rates differ according to methodologies and the database utilized:
• United Nations: 14.9% urban
• World Development Report:10.9% urban
• Central Statistical Agency of Ethiopia: 16% urban
• By comparison, the SSA average is 30% urban
• Ethiopia‟s non-agricultural sectors are also small relative to other countries in
SSA
• In 2006/07 output of non-agricultural sectors contributed 54 % to GDP
• Non-agricultural sectors contributed 85 percent to GDP in SSA (and 75
percent of GDP in low income countries in SSA)
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
3. Introduction
• The Central Statistical Agency defines urban areas as:
• Localities greater than 2000 inhabitants
• Administrative capitals of regions, zones, and woredas
• Localities with at least 1000 people doing non-agricultural
activities, and / or areas where the administrative official declares
the locality to be urban
• Given these definitions, urban areas do not remain
constant between census years
• With this study we provide a consistent definition of urban
areas which can be compared over time, across countries
and within national boundaries
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
4. Introduction
• In order to standardize urbanization measurements, we use
methodology developed by Uchida and Nelson (2009) which
incorporates a series of GIS data and analyses including:
• Travel time rasters,
• Population density
• Proximity to cities greater than 50,000
• We identify urban areas spatially using specific thresholds:
• A population density greater than 150 people per km2;
• Populations located within 1 hour travel time to a city of at
least 50,000 people.
• City centers of at least 50,000 people
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
5. Data and Methods
This study uses:
• GIS road network data from each Ethiopian census year
(1984,1994,2007)
• Population data from each Ethiopian census year
• Population density grids:
• Landscan
• GRUMP (Global Rural and Urban Mapping Project,
Columbia University)
• Other biophysical data to create a travel time grid:
• land cover, rivers, water bodies and elevation and slope
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
6. Data and Methods
In order to measure travel time to a major city:
Estimation of Travel Times
• A series of GIS layers are merged into a „friction layer‟
which represents the time required to cross each pixel
• Road type and class
• Paved – all weather
• Paved – dry weather
• Gravel – all weather
• Gravel – dry weather
• Earth
• Waterbodies
• Landcover
• Slope
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
7. Data and Methods: data reclassification
Road network
Slope
Land cover and lakes
Rivers
Cities
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
8. Data and Methods
Travel time
This friction layer is then used as an input into the “Cost
Distance” function in ArcGIS 9.2 in order to compute the
travel time in minutes from each pixel to the nearest
designated populated place.
In our study we analyzed travel time to cities of 50,000
people or more.
Road investments in Ethiopia greatly reduced travel time
between 1984 and 2007, especially in the highlands
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
9. Travel time 1984
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
10. Travel time 1994
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
11. Travel time 2007
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
12. Data and Methods
Agglomeration Index
Once travel time is calculated to each major city for each
census year, we are able to incorporate the cost distance
raster into an agglomeration index measurement:
Urban population is determined using the criteria:
• Within an area of a population density of at least 150
people per square kilometer (calculated GRUMP and
LandScan population density grids and adjusting for
population growth
• Within a city of 50,000 people or within one hour travel
time to a city of at least 50,000 people
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
13. Data and Methods: Population Density
GRUMP population density grid
GRUMP (Global Rural-
Urban Mapping Project)
human settlement data is
available and applying UN
growth rates, population
was estimated for 2000
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
14. Data and Methods: Population Density
LandScan population density grid
LandScan estimates the
large area population
density and spatially
allocates these data to key
infrastructure while
controlling for topography
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
15. Data and Methods: Population Density
Average of GRUMP and LandScan
Following the Uchida
and Nelson (2008)
methodology, we
average the population
density grids for
GRUMP and
Landscan in order to
take into account
specific features such
as urban areas and
road infrastructure.
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
16. Results
Agglomeration Index 1984
In 1984, Addis Ababa and other
larger cities were primarily
confined to its city administrative
boundaries.
There were only a few cities with
greater than 50,000 people
Limited road networks and more
dispersed population characterized
the demographic landscape.
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
17. Results
Agglomeration Index 1994
By 1994, Ethiopia‟s cities grew, and
the country‟s transportation network
expanded
Urban corridors were formed
between Sebeta in the southwest
and Bishoftu to the southeast, linking
to Nazareth
Population growth and improved
transportation infrastructure in
Shashamene and Awasa also
facilitated linkages to form an urban
network between Oromia and SNNP
regions.
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
18. Results
By 2007, urban linkages were Agglomeration Index 2007
clearly visible throughout Oromia,
SNNP, and Amhara regions.
Addis Ababa expanded to connect
Sebeta and Bishoftu, and Asela in
the South.
Addis Ababa also connected to
Ambo in the west, and Debre
Berhan in the east
Hosaena linked to Sodo and
Shashamene
Linkages between Arba Minch and
Sodo were also forming
Jimma had grown into a
southwestern hub with opportunities
to link with Nekemte toPOLICYnorth. INSTITUTE
INTERNATIONAL FOOD the RESEARCH • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
19. Results
• Since the previous census in 1994, new cities have been created, and
economically viable cities have experienced large growth in population
count and density
• Given that growth in the number of cities with at least 50,000 people mainly
occurred in the four major regions, we find that increased urbanization rates
are primarily confined to these regions
• The city administrative areas, of Addis Ababa and Dire Dawa, as well as
Harari, a small urban region, experienced the greatest urbanization from
1984 to 1994.
• From 1994 to 2007, Addis Ababa and other urban areas expanded
significantly into other regions.
• Given improved travel time between major cities, as well as increased
population density on these corridors, urban areas in Ethiopia look more
like networks in 2007 than the isolated communities typical of the 1984
urban landscape
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
20. Results
Larger cities have emerged over the 3 census years, especially
in Oromia, Amhara and SNNP regions
Number of cities over 20 and 50 thousand people during the census years
Cities in 1984* Cities in 1994 Cities in 2007
Region Over 20,000 Over 50,000 Over 20,000 Over 50,000 Over 20,000 Over 50,000
Tigray 1 1 5 1 10 3
Oromia 7 3 17 4 32 8
Amhara 5 3 7 3 18 7
SNNP 4 0 7 1 18 5
Gambella 0 0 0 0 1 0
Benishangul - 0 0 0 0 1 0
Gumuz
Harari 1 1 1 1 1 1
Dire Dawa 1 1 1 1 1 1
Addis Ababa 1 1 1 1 1 1
Somali 1 0 4 1 5 1
Afar 0 0 0 0 0 0
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
21. Results
Table 1: Agglomeration Index – Percent of people considered urban by region
Total Population Percentage Total Population Percentage Total Population Percentage
(thousands) Urban (thousands) Urban (thousands) Urban
Regions 1984 1994 2007
Addis Ababa 1,423 61.2 2,113 85.5 2,738 99.3
Afar 780 - 1,061 - 1,411 -
Amhara 10,686 2.0 13,834 3.7 17,214 7.5
Benishangul-Gumuz 351 - 460 - 671 -
Dire Dawa 158 20.3 252 58.2 343 66.3
Gambella 172 - 182 - 307 -
Harari 82 55.2 131 76.2 183 86.0
Oromia 14,016 1.7 18,733 4.6 27,158 9.2
SNNP 7,501 - 10,377 2.2 15,043 21.1
Somali 2,006 0.2 3,199 1.6 4,439 1.9
Tigray 2,692 2.0 3,136 3.8 4,314 8.0
Ethiopia 39,869 3.7 53,477 7.1 73,919 14.2
• Addis Ababa (24%), Dire Dawa (38%) and Harari (21%) experienced the greatest
urbanization from 1984 to 1994
• From1994 to 2007 the change in urban share was less than the previous decade for Addis
Ababa (14 %), Dire Dawa (8%) and Harari (10%)
• All other regions experienced greater urbanization from 1994 to 2007
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
22. Population density and urban growth in 1994
Limited
urbanization (2.2%)
is present in SNNP
region in 1994
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
23. Population density and urban growth in 2007
City growth, as well
as more networked
infrastructure
increased
urbanization rates
in SNNP almost
20%
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
24. Results
Percent population connected to a city of at least 50,000 people in 1994
Region Access < 1 Access 1-3 Access 3 - 5 Access 5 - 10 Access > 10
hour hours hours hours hours
Tigray 3.7 3.4 16.2 47.7 29.0
Afar - - - 5.6 94.4
Amhara 2.8 8.0 18.1 44.5 26.6
Oromia 5.3 7.7 20.6 36.7 29.8
Somali 8.0 - - 11.0 81.1
Benishangul-Gumuz - - - 11.2 88.8
SNNP 3.4 7.3 26.9 39.6 22.9
Gambella - - - - 100
Harari 100 - - - -
Addis Ababa 100 - - - -
Dire Dawa 100 - - - -
Ethiopia 8.4 6.4 18.2 36.0 31.0
• In 1994, all of the inhabitants in Gambella region were more than 10 hours travel time to a city
of at least 50,000 people
• Overall, 31% of the population in Ethiopia was more than 10 hours away from a major city
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
• In the four main regions, more than 50% of the population was over 5 hours travel time from a
city
25. Results
Travel Time: Percent point change in access to a city from 1994 to 2007
Region Access < 1 Access 1 - 3 Access 3 - 5 Access 5 -10 Access > 10
hour hours hours hours hours
Tigray 7.13 12.01 (3.72) 5.98 (21.39)
Afar - - - 4.11 (5.89)
Amhara 2.23 14.68 18.94 (12.49) (23.35)
Oromia 3.74 10.40 15.84 (8.88) (21.10)
Somali - - - 2.62 (2.61)
Benishangul-Gumuz - - - 17.91 (17.91)
SNNP 9.17 45.37 (14.59) (21.56) (18.39)
Gambella - - - - -
Harari - - - - -
Addis Ababa - - - - -
Dire Dawa - - - - -
Ethiopia 4.10 17.12 7.54 (9.93) (18.83)
• No improvement was experience in Gambella region between 1994 and 2007
• Population over 10 hours in the main four regions improved by at least 18%
• Only 2.6INTERNATIONAL the population in Somali region decreased travel time to INSTITUTE10 hours
percent of FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH under
over the 13 year period.
26. Results
Difference in travel time to a city of at least 50,000 between 1994 and 2007
New gravel roads built between Kebri
Dehar and Gode; and Harar and Imi
eased access constraints in Somali
region considerably.
Although access has improved
considerably, populations remain very
remote (78 percent of the population
in Somali region is still further than 10
hours from a major city).
Extended evaluation of nascent
corridors between Jijiga and Kebri
Dehar, and between Harar – Imi –
Gode, could be undertaken to
understand the tradeoffs of investing
in these areas
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM
27. Conclusions
• Ethiopia has placed a primary emphasis on rural and agricultural
led development; nonetheless, the country continues to urbanize
and agglomeration economies are beginning to link and form
corridors of economic growth.
• Improved transport within Ethiopia has facilitated greater mobility
of capital, goods, and people, and incentivized population
clustering along major transportation routes
• Improvements in road infrastructure between large cities, as well
as increases in population density along these corridors, have
increased urbanization rates (agglomeration indices) from 3.7 to
14 percent over the last 2 decades
• This dramatic transformation in the economic landscape is likely
to continue, with important implications for future economic
growth and public investments in infrastructure.
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE • ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE – ETHIOPIA STRATEGY SUPPORT PROGRAM