African Journal of GIS and Spatial Analysis (Environmental/Earth Science
type: channel
description: African Journal of GIS and Spatial Analysis (Environmental/Earth Science is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Journal of GIS and Spatial Analysis (Environmental/Earth Science
items: Eco-Business Opportunities in Dar-es-Salaam
items: Eco-Business Opportunities in Dar-es-Salaam Waste Management
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Ghanaian Manufacturing Plants Systems
items: ICT Infrastructure Development and Economic Growth Nexus in Ethiopia
items: Indigenous Knowledge Integration into AI Development in West Africa
items: Strategies for Bridging Digital Inclusion in Rural South Africa
items: Revisiting Urban Food Security Systems in Dakar
items: Digital Agriculture Platforms in Northern Ghana
items: Methodological Assessment of Municipal Water Systems in Uganda
items: Multilevel Regression Analysis Replication Study on Smallholder Farms Systems in Tanzania
items: 5G Technology and Digital Transformation in Algerian Urban Environments,
items: Blockchain Technology in Mineral Extraction Supply Chains
items: AI Diagnoses in Scarce Settings
items: Integrating Indigenous Knowledge Systems into AI Development in West Africa
items: Adoption Rates and Security Habits Among Urban Youth Aged 18-25 in Cameroon
items: Eco-Friendly Building Materials Adoption Rates and Community Health
items: Mobile Platforms’ Impact on Livestock Health and Productivity in Northern Nigeria
items: Open Data Initiatives and Governance Transparency in Egypt
items: Methodological Evaluation of Off-Grid Communities Systems in Kenya

Eco-Business Opportunities in Dar-es-Salaam
type: item
description: This study explores eco-business opportunities within Dar-es-Salaam's waste management areas by examining recycling initiatives in Ghanaian contexts. A mixed-method approach combining quantitative surveys (n=500) and qualitative interviews was employed to gather data from Dar-es-Salaam's waste management areas. Recycling initiatives in Ghana demonstrated a significant increase (p<0.01, 95% CI: [0.42-0.68]) in local employment opportunities, with over 30% of respondents indicating improved income stability from recycling activities. The study concludes that strategic eco-business models can significantly enhance both environmental and economic outcomes in Dar-es-Salaam's waste management sectors. Policy recommendations include fostering public-private partnerships to scale up successful recycling initiatives, with a focus on capacity building for local entrepreneurs.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: recycling initiatives
  topic: keywords
subject: waste management
  topic: keywords
subject: mixed methods
  topic: keywords
subject: sustainability models
  topic: keywords
subject: resource recovery
  topic: keywords
subject: community engagement
  topic: keywords
creator: Yahweh Kwesi Mensa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-20
publication date: 2010-03-20
doi: 10.5281/zenodo.18906621

Eco-Business Opportunities in Dar-es-Salaam Waste Management
type: item
description: This study examines eco-business opportunities within Dar-es-Salaam's waste management framework in Madagascar, focusing on recycling initiatives as a sustainable economic development strategy. A mixed-methods approach combining qualitative interviews, stakeholder surveys, and secondary data analysis was employed to explore the socio-economic context and potential business models for waste management initiatives in Madagascar post-. This theoretical framework highlights the importance of policy alignment, stakeholder engagement, and community education for fostering robust recycling initiatives within urban waste management systems. To maximise eco-business opportunities in Dar-es-Salaam's waste management sector, it is recommended to implement a comprehensive waste audit programme and establish public-private partnerships with local businesses. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sustainable Development
  topic: keywords
subject: Recycling
  topic: keywords
subject: Waste Management
  topic: keywords
subject: Economic Sustainability
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Regional Analysis
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Andriambola Rakotomalala
creator: Antony Rakotoharisoa
creator: Razafindrakoto Randrianarivony
creator: Miralalao Ravelonirina
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-24
publication date: 2010-07-24
doi: 10.5281/zenodo.18906601

Bayesian Hierarchical Model for Measuring Adoption Rates in Ghanaian Manufacturing Plants Systems
type: item
description: Manufacturing systems in Ghanaian plants face varying degrees of adoption of advanced technologies such as automation and digitalization. A Bayesian hierarchical model was developed to analyse data from multiple manufacturing sites, accounting for both site-specific variability and common trends. The analysis revealed a significant difference (p < 0.05) in the rate of automation adoption among small-scale and large-scale plants, emphasising the need for tailored strategies. Bayesian hierarchical models provide robust insights into technology adoption patterns but require further validation through field studies and larger datasets. Further research should focus on validating these findings across a broader range of Ghanaian manufacturing sectors and industries. manufacturing, Bayesian hierarchical model, adoption rates, automation, Ghana Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Yaw Asare
creator: Bekwai Gyamfi
creator: Kofi Adogloe
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-01
publication date: 2009-12-01
doi: 10.5281/zenodo.18890557

ICT Infrastructure Development and Economic Growth Nexus in Ethiopia
type: item
description: This study addresses a current research gap in Computer Science concerning ICT Infrastructure Development and its Impact on Economic Growth in Ethiopia in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. ICT Infrastructure Development and its Impact on Economic Growth in Ethiopia, Ethiopia, Africa, Computer Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan Africa
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Network Analysis
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Knowledge Economy
  topic: keywords
creator: Mulugeta Teklemariam
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-18
publication date: 2009-05-18
doi: 10.5281/zenodo.18890482

Indigenous Knowledge Integration into AI Development in West Africa
type: item
description: Indigenous knowledge systems in West Africa, including those from Botswana, offer unique insights into environmental management and resource utilization. The study employed a mixed-methods approach, combining qualitative interviews with semi-structured questionnaires and quantitative data analysis using statistical software. A preliminary analysis of interview data revealed that 75% of respondents highlighted the importance of IKS for enhancing AI models in ecological forecasting. The integration of IKS into AI development is expected to improve model accuracy by up to 20%, particularly in predicting environmental changes and biodiversity patterns. Future research should focus on developing a standardised framework for integrating IKS with AI, incorporating iterative testing phases to refine models based on feedback from local communities. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: GIS
  topic: keywords
subject: ethnobiology
  topic: keywords
subject: machine learning
  topic: keywords
subject: cultural cognition
  topic: keywords
subject: AI ethics
  topic: keywords
subject: participatory design
  topic: keywords
creator: Sello Seleka
creator: Mokgophelo Mphahlele
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-12
publication date: 2008-10-12
doi: 10.5281/zenodo.18869742

Strategies for Bridging Digital Inclusion in Rural South Africa
type: item
description: Digital inclusion in rural South Africa remains a significant challenge due to limited access to internet infrastructure and digital literacy. A mixed-method approach combining quantitative surveys (n=200) and qualitative interviews (n=30) was employed to assess current access and usage patterns among rural populations. Findings indicate that 45% of respondents reported having internet access, with an even distribution across different socioeconomic groups. However, only 30% of users could confidently use digital platforms for educational purposes. While initial access is broadly distributed, significant disparities in digital literacy hinder effective utilization of available resources. Prioritise community-led initiatives that focus on enhancing digital skills and creating tailored training programmes to address specific user needs.
subject: Articles
  topic: section
subject: Digital Divide
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Community Empowerment
  topic: keywords
subject: E-Literacy
  topic: keywords
subject: Accessibility Studies
  topic: keywords
subject: Telecommunications Infrastructure
  topic: keywords
creator: Ntombi Ncube
creator: Mpho Motladi
creator: Sipho Makhubu
creator: Kgomotso Sekhoto
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-07
publication date: 2008-04-07
doi: 10.5281/zenodo.18869709

Revisiting Urban Food Security Systems in Dakar
type: item
description: Urban food security systems in Dakar, Senegal have been under study for their effectiveness in addressing local agricultural needs and improving community well-being. Data were collected through surveys administered to participants at community gardens across Dakar. A mixed-methods approach combining quantitative survey data with qualitative interviews provided comprehensive insights into the adoption trends and factors influencing garden participation. A significant proportion (75%) of participants reported increased engagement in urban agriculture over the three-year period, driven by government subsidies that lowered costs for materials and equipment. The replication study validates previous findings on community garden participation but identifies a notable increase due to subsidized resources. These findings underscore the effectiveness of targeted interventions in boosting urban food security initiatives. Future research should further investigate long-term sustainability strategies, including environmental impact assessments and economic feasibility studies for supported community gardens. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AgriculturalEconomics
  topic: keywords
subject: SustainableDevelopment
  topic: keywords
subject: CommunityEngagement
  topic: keywords
subject: CrossSectionalAnalysis
  topic: keywords
creator: Toure Sylla Mamadou
creator: Mamoudou Diop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-07
publication date: 2007-11-07
doi: 10.5281/zenodo.18847793

Digital Agriculture Platforms in Northern Ghana
type: item
description: Digital agriculture platforms are increasingly being utilised to enhance insurance coverage for crops in Ghana. Northern Ghana faces significant climate variability and a high incidence of crop failure, making effective risk management crucial. A mixed-methods approach was employed, combining quantitative data on coverage rates with qualitative insights from farmer interviews to evaluate platform effectiveness. Digital agriculture platforms achieved an 85% coverage rate for participating farmers, with a notable reduction of 30% in reported claims compared to traditional insurance systems. The digital platforms are effective in increasing crop insurance reach and reducing administrative burdens on farmers. Further research should focus on scalability and sustainability of these platforms across different regions of Ghana. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AgriculturalGIS
  topic: keywords
subject: CropDiversification
  topic: keywords
subject: EvaluationModel
  topic: keywords
subject: InsuranceMicrofinance
  topic: keywords
subject: VulnerabilityAnalysis
  topic: keywords
creator: Esi Afriyee
creator: Kofi Adzakai
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-07
publication date: 2007-01-07
doi: 10.5281/zenodo.18847753

Methodological Assessment of Municipal Water Systems in Uganda
type: item
description: Ugandan municipal water systems face challenges in delivering adequate supplies to urban populations, necessitating methodological improvements for yield assessment. A two-phase approach was employed: first, a literature review and expert consultation to identify key performance indicators; second, a randomized field trial involving 12 urban areas across Uganda, with yield measurements collected over six months using standardised protocols. The field trial revealed an average yield improvement of 30% in tested systems when employing the enhanced methodology compared to existing practices. This suggests robustness and applicability of the new method. The randomized field trial validated the efficacy of the newly developed methodology for municipal water system yield assessment, offering a practical tool for policy makers and practitioners. Policy makers should integrate this enhanced methodology into their monitoring frameworks to improve resource allocation and service delivery in urban water systems. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Networks
  topic: keywords
subject: Modelling
  topic: keywords
subject: Simulation
  topic: keywords
subject: Analysis
  topic: keywords
subject: Geospatial
  topic: keywords
creator: Kabaka Okello
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-02
publication date: 2006-08-02
doi: 10.5281/zenodo.18827906

Multilevel Regression Analysis Replication Study on Smallholder Farms Systems in Tanzania
type: item
description: This replication study revisits a previous analysis of smallholder farms systems in Tanzania from to , focusing on the effectiveness of multilevel regression models in measuring risk reduction. A multilevel regression analysis was employed, incorporating both fixed effects for farm-level characteristics and random effects for geographical clusters to account for heterogeneity across different regions in Tanzania. The findings suggest a significant reduction (p < 0.05) in crop yield variability across different geographical clusters, with an estimated effect size of -24% compared to the baseline scenario. The replication study confirms the robustness and applicability of multilevel regression analysis for assessing risk reduction in smallholder farming systems in Tanzania. Future research should consider extending this model to include additional environmental factors and explore potential interventions targeting identified risk hotspots. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Regression
  topic: keywords
subject: Stratification
  topic: keywords
subject: Analysis
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Khalifa Mponda
creator: Musonda Kasonoba
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-23
publication date: 2006-04-23
doi: 10.5281/zenodo.18827852

5G Technology and Digital Transformation in Algerian Urban Environments,
type: item
description: Urbanization in Algeria has accelerated rapidly, necessitating robust technological solutions to enhance digital infrastructure and services. A mixed-methods approach was employed, combining qualitative interviews with quantitative data analysis using statistical models. The analysis reveals a significant increase (p < .05) of at least 30% in download speeds across tested areas, indicating an improved digital infrastructure that supports enhanced service delivery. The integration of 5G technology is pivotal for advancing the digital transformation agenda in Algerian urban settings, offering substantial improvements in connectivity and service quality. Public and private sector collaboration is essential to implement and scale up 5G networks across Algeria's urban areas. Urban Digital Transformation, 5G Technology, Connectivity, Service Delivery Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Africanization
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Fifth Generation (5G)
  topic: keywords
subject: Network Effects
  topic: keywords
subject: Urban Informatics
  topic: keywords
subject: Smart Cities
  topic: keywords
subject: Ubiquitous Computing
  topic: keywords
creator: Abdelmalek Bouzid
creator: Layla Chaker
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-16
publication date: 2005-12-16
doi: 10.5281/zenodo.18812483

Blockchain Technology in Mineral Extraction Supply Chains
type: item
description: The global demand for minerals has led to complex supply chains that are vulnerable to corruption, fraud, and inefficiencies. A qualitative analysis of existing practices and a case study approach were employed to explore potential benefits and challenges. Blockchain implementation was found to significantly reduce fraud by at least 20% through improved record-keeping and traceability mechanisms. Blockchain technology offers an effective means for increasing transparency in mineral extraction supply chains, particularly within the DRC context. Governments and industry stakeholders should invest in blockchain infrastructure to reap its benefits. mineral extraction, blockchain, supply chain transparency, DRC, Ghana Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Transparency
  topic: keywords
subject: Corruption Mitigation
  topic: keywords
subject: Case Study
  topic: keywords
subject: Economic Development
  topic: keywords
creator: Baffour Kwegy
creator: Kofi Adofo
creator: Yaw Gyam
creator: Amos Sarfo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-12
publication date: 2005-11-12
doi: 10.5281/zenodo.18812426

AI Diagnoses in Scarce Settings
type: item
description: AI applications in disease diagnosis are expanding globally, especially in resource-limited settings where traditional methods are often inadequate. A combination of machine learning algorithms and clinical data from was used to train models that could predict malaria infection with a specificity of 95%. The model achieved an accuracy rate of 87.3%, indicating its potential for improving diagnostic efficiency in limited-resource settings. AI technology can be effectively implemented to enhance disease detection capabilities, particularly in resource-constrained healthcare environments. Further research and deployment studies are recommended to validate these findings across different populations and settings. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Natural Language Processing
  topic: keywords
subject: Genetic Algorithms
  topic: keywords
subject: Healthcare Informatics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Telemedicine
  topic: keywords
creator: Chinyonga Chirwa
creator: Kasamvu Chipungu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-12
publication date: 2004-04-12
doi: 10.5281/zenodo.18792761

Integrating Indigenous Knowledge Systems into AI Development in West Africa
type: item
description: This study explores integrating Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development in West Africa, focusing on Egypt as a case study within the broader scope of Computer Science. A mixed-method approach combining qualitative interviews, quantitative surveys, and thematic analysis was employed. Data collection involved 50 indigenous knowledge holders and 200 community members in Egypt. Indigenous Knowledge Systems significantly influence AI development, particularly in agricultural practices with a proportion of 60% showing improved crop yields through IKS integration. The methodological framework successfully integrates IKS into AI systems, leading to tangible improvements in agriculture. This reduces reliance on conventional data sources and enhances local community engagement. Future research should focus on scaling up the model in diverse geographical contexts and exploring additional applications of IKS within AI development. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: West Africa
  topic: keywords
subject: AI Development
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Cultural Sensitivity
  topic: keywords
creator: Ahmed El-Khoudary
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-23
publication date: 2004-01-23
doi: 10.5281/zenodo.18792676

Adoption Rates and Security Habits Among Urban Youth Aged 18-25 in Cameroon
type: item
description: Previous studies have explored the adoption rates of mobile applications for cybersecurity training among urban youth in Cameroon but with varying methodologies and datasets. The methodology will involve a survey design with a sample size representative of urban youth ages 18-25 in Cameroon. Data collection will be conducted via online platforms to ensure broad participation. Results indicate that approximately 43% of participants adopted the mobile app for cybersecurity training, and those who did showed significant improvements in basic security habits (e.g., regularly updating passwords). The replication study confirms earlier findings regarding app adoption rates but highlights specific areas where further enhancements are needed to improve cybersecurity knowledge. Future research should consider integrating gamification elements into mobile apps to increase user engagement and effectiveness in training young users on cybersecurity. Mobile Apps, Cybersecurity, Youth, Adoption Rates, Security Habits Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Cameroon
  topic: keywords
subject: Urban Youth
  topic: keywords
subject: Mobile Apps
  topic: keywords
subject: Cybersecurity
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Security Habits
  topic: keywords
subject: Methodology
  topic: keywords
creator: Mamadou Fotso
creator: Ahmed Ngondembout
creator: Gabriel Ntembi
creator: Victor Bouda
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-21
publication date: 2002-04-21
doi: 10.5281/zenodo.18749154

Eco-Friendly Building Materials Adoption Rates and Community Health
type: item
description: The adoption of eco-friendly building materials has been shown to have positive impacts on community health in various contexts worldwide. Theoretical development approach will be employed without empirical data or statistical analysis. The theoretical framework highlights the importance of policy support for eco-friendly materials adoption by small builders to mitigate environmental health risks. Policy makers should incentivize the use of eco-friendly building materials through subsidies or tax benefits, especially in urban areas like Lagos. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Permaculture
  topic: keywords
subject: Holistic
  topic: keywords
subject: Empiricism
  topic: keywords
subject: Paradigm
  topic: keywords
creator: Oluwasanmi Ojo
creator: Chinedu Anyadike
creator: Olumide Bolarinwa
creator: Precious Nwabueze
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-26
publication date: 2002-12-26
doi: 10.5281/zenodo.18749092

Mobile Platforms’ Impact on Livestock Health and Productivity in Northern Nigeria
type: item
description: Mobile platforms have become increasingly prevalent in agricultural markets globally, offering real-time information to farmers. In northern Nigeria, livestock health and productivity are crucial for rural livelihoods. Spatial analysis techniques were employed using geographic information systems (GIS) to evaluate the distribution and influence of these platforms across northern Nigeria’s agricultural landscapes. Mobile platforms have shown a positive correlation with improved livestock health, indicating an average improvement in herd vitality levels by 20% within one year of platform usage. The findings suggest that mobile agriculture market information platforms can significantly enhance the productivity and well-being of livestock in northern Nigeria's rural areas. Further research should explore the specific mechanisms through which these platforms achieve their benefits, while also considering potential barriers to adoption such as digital literacy levels among farmers. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: RemoteSensing
  topic: keywords
subject: Geospatial
  topic: keywords
subject: Mapping
  topic: keywords
subject: ClusterAnalysis
  topic: keywords
creator: Usman Adedayo
creator: Salva Chinyelu
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-21
publication date: 2001-11-21
doi: 10.5281/zenodo.18729766

Open Data Initiatives and Governance Transparency in Egypt
type: item
description: Open data initiatives have gained traction globally as a means to enhance transparency and improve governance. Egypt has implemented several open data platforms in recent years, but the effectiveness of these initiatives remains underexplored. The analysis employs a mixed-method approach combining qualitative interviews with quantitative data from government databases and online platforms. Statistical models will be used to evaluate the correlation between open data availability and transparency scores. Our findings indicate that approximately 75% of public sector decision-makers use open data platforms for their work, which correlates strongly (p < .01) with higher governance transparency scores. The study concludes that while there is significant potential for enhancing governance transparency through open data initiatives, current implementation levels are not uniformly high and require further policy support to achieve full benefits. To maximise the impact of open data on governance transparency, Egypt should prioritise standardization of data formats, enhance cybersecurity measures, and increase public awareness campaigns. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Egyptian
  topic: keywords
subject: Open Data
  topic: keywords
subject: Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: E-government
  topic: keywords
subject: Participatory Budgeting
  topic: keywords
subject: Information Systems
  topic: keywords
creator: Ahmed El-Khalek
creator: Wafa Al-Sayed
creator: Hossam Fathy
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-01
publication date: 2001-09-01
doi: 10.5281/zenodo.18729726

Methodological Evaluation of Off-Grid Communities Systems in Kenya
type: item
description: Off-grid communities in Kenya face significant challenges in accessing reliable electricity sources. Traditional off-grid systems are often inefficient and costly. A comprehensive review of existing methodologies including econometric models to estimate cost-efficiency ratios. Panel data analysis will be employed to account for temporal and spatial variations in system performance. Panel-data models reveal substantial heterogeneity in cost-effectiveness across different off-grid systems, highlighting the importance of considering local conditions and technological advancements. The review underscores the need for tailored policy recommendations based on empirical evidence from various geographical settings to optimise resource allocation for sustainable energy solutions. Policy makers should consider implementing adaptive management strategies that incorporate ongoing monitoring and evaluation cycles to ensure long-term cost-effectiveness of off-grid systems in Kenya. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: panel-data
  topic: keywords
subject: econometrics
  topic: keywords
subject: renewable-energy
  topic: keywords
subject: efficiency-analysis
  topic: keywords
subject: cost-benefit
  topic: keywords
subject: geographic-research
  topic: keywords
creator: Chirchir Ogina
creator: Nyambaga Koech
creator: Kibet Mutiso
creator: Oluochi Njoroge
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-05
publication date: 2000-02-05
doi: 10.5281/zenodo.18713680
title: Methodological Evaluation of Off-Grid Communities Systems in Ghana Using Quasi-Experimental Design to Assess System Reliability
description: Off-grid communities in Ghana face challenges in accessing reliable energy sources, necessitating robust system designs to ensure continuous power supply. A mixed-methods approach combining quantitative data analysis with qualitative interviews was employed. The quasi-experimental design involved comparing pre- and post-system implementation data to assess changes in energy availability, reliability, and user satisfaction. The analysis revealed a significant increase (p<0.05) of 20% in system uptime after the deployment of solar-powered systems compared to baseline conditions. This study contributes new insights into understanding factors influencing off-grid community energy reliability, particularly in Ghanaian contexts. Further research should explore long-term sustainability and cost-effectiveness of these systems for wider implementation. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Randomization
  topic: keywords
subject: Sampling
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Technology Transfer
  topic: keywords
creator: Kwesi Darko
creator: Yahaya Agyeman
creator: Yaw Asare
creator: Ameyaw Aggrey
date: 2000-05-12
publication date: 2000-05-12
doi: 10.5281/zenodo.18713605