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Journal articles on the topic 'Socio-economic Mapping'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Thomson, Ken, Nico Vellinga, Bill Slee, and Adekunle Ibiyemi. "Mapping Socio-Economic Performance in Rural Scotland." Scottish Geographical Journal 130, no. 1 (2013): 1–21. http://dx.doi.org/10.1080/14702541.2013.838635.

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Rajput, Swati. "Mapping and Assessing Socio-Economic Wellbeing and Food Wellbeing in India." International Journal of Science and Research (IJSR) 10, no. 1 (2021): 790–803. https://doi.org/10.21275/sr21114145404.

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Ariyanto, Komang. "Participatory socio-economic mapping of singosari village, Talang Padang District, Tanggamus Regency." International Journal on Social Science, Economics and Art 13, no. 1 (2023): 34–49. http://dx.doi.org/10.35335/ijosea.v13i1.244.

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Mapping socio-economic conditions in rural areas is used to see community needs and potential resources in order to find out which sectors need to be implemented and improved. This study aims to analyze the participatory mapping of socio-economic conditions in the village of Singosari, Tanggamus. This research uses a quantitative-descriptive method with a case study approach supported by qualitative data. The population in this study amounted to 464 heads of households and the sample was 30 households. In this study, the respondents and informants were farmer households and village government officials. Data collection was carried out through primary data through surveys, interviews, participatory observation, documentation, and literature studies on data related to participatory socio-economic mapping in rural areas. Data analysis used the interactive model Miles, Huberman and Saldana, and assisted with Microsoft Excel for processing survey data. The findings in this study are that the Singosari village has a variety of resources, both socio-economic and ecological. Even though the village has limitations in terms of education and health facilities, on the other hand, it has the potential for dryland farming which can be developed and become the focus of agricultural development program interventions. Recommendations/implications for the findings are that the results of the socio-economic mapping contain socio-economic data of villagers so that they can be used as a valid reference for making policies/programs. Socio-economic data is presented according to existing categories, arranged systematically, with explanations of the relationships between these categories, and can be read.

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Del Soldato, Matteo, Lorenzo Solari, and Alessandro Novellino. "Landslide Monitoring and Mapping." Geosciences 14, no. 12 (2024): 350. https://doi.org/10.3390/geosciences14120350.

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Sayuti, R. H., M. Taqiuddin, Hayati, et al. "Socio-economic mapping for community empowerment in Mandalika special economic zone, Lombok, Indonesia." IOP Conference Series: Earth and Environmental Science 1253, no. 1 (2023): 012067. http://dx.doi.org/10.1088/1755-1315/1253/1/012067.

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Abstract The community’s welfare is anticipated to increase with development in highly prioritized regions of the country’s tourism industry. Studies, however, indicate that this is not always the case. If the process of social engineering is not taken seriously, even poverty will continue to cast a shadow over the neighborhood. What about the Mandalika Special Economic Zone (SEZ), which has been designated as a new area for economic growth and has had expensive tourism amenities constructed? This study aims to map the social and economic state of the neighborhood surrounding the Mandalika Special Economic Zone (SEZ). This study employed mixed methods, which combine quantitative and qualitative techniques. Maps representing the community’s social and economic situations are produced quantitatively. A qualitative approach uses a participative procedure to create a community empowerment model. The study’s findings are: (1) The community’s social and economic situations are underwhelming. Public health infrastructure, such as drinking water facilities, sanitization, and waste disposal, is still subpar. People in SEZ Mandalika still have modest incomes, and many are even considered impoverished. (2) The community’s human, ecological, and cultural resources contribute to its potential. Numerous forms of tourism infrastructure have been constructed. (3) There are five components to the suggested community empowerment model: the government, academia, community, media, and business actors (Penta helix).

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Dugarova, G. B., and V. N. Bogdanov. "The Experience of Socio-Economic Mapping of the Baikal Region." Bulletin of Irkutsk State University. Series Earth Sciences 30 (2019): 13–25. http://dx.doi.org/10.26516/2073-3402.2019.30.13.

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Mikhaylov, Andrey, Anna Mikhaylova, Kamil Alsynbaev, Vitaliy Bryksin, and Dmitry Hvaley. "Remote-sensing technology in mapping socio-economic divergence of Europe." Bulletin of Geography. Socio-economic Series 52, no. 52 (2021): 69–84. http://dx.doi.org/10.2478/bog-2021-0014.

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Abstract Marine and ocean coasts traditionally act as natural growth poles for humankind. Recent studies conducted by scholars from both natural and social sciences suggest that coastal zones accumulate population, agglomerate industries, attract entrepreneurs, and pull investments. The coastalisation effect remains one of the defining factors of regional development around the globe and is projected to strengthen over the next quarter century. Deepening socio-economic inequality and polarisation between countries and regions despite efforts taken with convergence policies put the “marine factor” on the research agenda. The study contains a comparative evaluation of coastalisation processes across the regions of Europe using remote-sensing technology and statistical multivariate analysis for testing the correlation level of results. The research is based on a dataset for 413 regions of Europe featuring indicators for population density and Gross Regional Product (GRP) in Purchasing Power Parity (PPP) per sq. km. The regions are grouped into clusters depending on their socio-economic indicators and the intensity of nocturnal illumination. The results suggest that coastal and inland region types evenly distribute between clusters, with an average of 40% coastal. Observations of nocturnal illumination clearly indicate an extensive anthropogenic impact on European coasts, both northern and southern. However, their overall luminosity is inferior to inland territories. The study concludes with four patterns derived from a combined methodology of socio-economic indicators and remote-sensing of night-time lighting.

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Wardle, Heather, Ruth Keily, Gaynor Astbury, and Gerda Reith. "‘Risky Places?’: Mapping Gambling Machine Density and Socio-Economic Deprivation." Journal of Gambling Studies 30, no. 1 (2012): 201–12. http://dx.doi.org/10.1007/s10899-012-9349-2.

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Eddy, Brian, Madison Muggridge, Robert LeBlanc, Joanne Osmond, Chelsea Kean, and Erica Boyd. "An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene." One Ecosystem 5 (September 3, 2020): e55881. https://doi.org/10.3897/oneeco.5.e55881.

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Integrating socio-economic dimensions in ecosystems analysis and management is becoming increasingly important, particularly from a mapping standpoint. A key challenge with such integration is reconciling different geospatial representations based on census and administrative frameworks with natural ecosystems boundaries.This article presents one method for addressing this challenge by mapping an information rich 'ecumene'. In this approach, communities are mapped as human habitats using natural boundaries as opposed to administrative-type boundaries, integrated with authoritative socio-economic data. To illustrate the benefits of this approach, two example applications are provided that: 1) map and estimate the population of the 'forest ecumene' of Canada, and 2) map labour force distribution patterns associated with the forest sector and its relation to forest areas in Canada. Benefits and limitations of this approach are discussed, from which a number of priority areas for future research are identified.

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Dufitimana, Esaie, Paterne Gahungu, Ernest Uwayezu, Emmy Mugisha, and Jean Pierre Bizimana. "Integrating Machine Learning and Geospatial Data for Mapping Socioeconomic Vulnerability to Urban Natural Hazard." ISPRS International Journal of Geo-Information 14, no. 4 (2025): 161. https://doi.org/10.3390/ijgi14040161.

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Rapid urbanization and climate change are increasing the risks associated with natural hazards, especially in cities where socio-economic disparities are significant. Current hazard risk assessment frameworks fail to consider socio-economic factors, which limits their ability to effectively address vulnerabilities at the community level. This study introduces a machine learning framework designed to assess flood susceptibility and socio-economic vulnerability, particularly in urban areas with limited data. Using Kigali, Rwanda, as a case study, we quantified socio-economic vulnerability through a composite index that includes indicators of sensitivity and adaptive capacity. We utilized a variety of data sources, such as demographic, environmental, and remotely sensing datasets, applying machine learning algorithms like Multilayer Perceptron (MLP), Random Forest, Support Vector Machine (SVM), and XGBoost. Among these, MLP achieved the best predictive performance, with an AUC score of 0.902 and an F1-score of 0.86. The findings indicate spatial differences in socio-economic vulnerability, with central and southern Kigali showing greater vulnerability due to a mix of socio-economic challenges and high flood risk. The vulnerability maps created were validated against historical flood records, socio-economic research, and expert insights, confirming their accuracy and relevance for urban risk assessment. Additionally, we tested the framework’s scalability and adaptability in Kampala, Uganda, and Dar es Salaam, Tanzania, showing that making context-specific adjustments to the model improves its transferability. This study offers a solid, data-driven approach for combining assessments of flood susceptibility and socio-economic vulnerability, filling important gaps in urban resilience planning. The results support the advancement of risk-informed decision-making, especially in areas with limited access to detailed socio-economic information.

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Sukaris, Sukaris. "Social-Mapping Sebagai Landasan Perencanaan Pemberdayaan Masyarakat Berkelanjutan." Jurnal Riset Entrepreneurship 2, no. 1 (2019): 52. http://dx.doi.org/10.30587/jre.v2i1.796.

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Planning a community empowerment should be placed as a reference of how to implement development programs and empowerment in order to comply with the direction and expectations of society. Planning community development is often called social mapping. Social mapping is mean to see and know the state of society, and then do a need assessment. The purpose of research is to identify problems of socio-economic, socio-economic potential and other opportunities that can be developed, the characteristics of the targeted empowerment. And to identify the type and level of need empowerment programs that enhance self-sufficiency. This research approach uses a qualitative approach case study. Results show focuses on the socio-economic problems of the most visible problems and are at locations surrounding environment companies ranging from the causes and impact. The various socio-economic potentials focuses on the dimensions of the current potential, institutional cooperation and continued development. The characteristics of the targeted community empowerment have noticed about those directly affected, to develop local potential, capacity building, sustainable programs, provide added value and synergy with the government. That the identification program carried out within a specified period in accordance with the strategic plan and business plan and based on performance and public expectations

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Cherepanova, E. S., E. S. Kiseleva, S. I. Perminov, and A. V. Tarasov. "MATHEMATICAL-CARTOGRAPHIC MODELING IN SOCIO- ECONOMIC MAPPING: PECULIARITIES OF DATA VISUALIZATION." Географический вестник = Geographical bulletin, no. 2 (2017): 137–47. http://dx.doi.org/10.17072/2079-7877-2017-2-137-147.

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Smith, Duncan A. "Online interactive thematic mapping: Applications and techniques for socio-economic research." Computers, Environment and Urban Systems 57 (May 2016): 106–17. http://dx.doi.org/10.1016/j.compenvurbsys.2016.01.002.

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Nadeem, Mudasar Ali, Taoqeer Nawaz, and Sohail Ashraf. "Socio-Economic Catalysts and Trafficking Trends: Mapping Drug Addiction in Pakistan." March 3, no. 1 (2024): 14–26. http://dx.doi.org/10.61503/cissmp.v3i1.96.

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This research article investigates the nexus between socio-economic catalysts, drug addiction, and trafficking trends in Pakistan. It explores how socio-economic factors such as poverty, unemployment, and societal pressures contribute to the rise of drug addiction in Pakistani communities. Furthermore, the study highlights the role of cultural norms and accessibility to drugs as significant contributors to addiction prevalence. By analyzing historical data, contemporary patterns, and case studies, the research elucidates the complex dynamics that fuel drug addiction and trafficking in Pakistan. It also emphasizes the need for comprehensive rehabilitation programs and international cooperation to combat the transnational nature of drug trafficking networks. The study reveals that the surge in drug users in Pakistan stems from societal challenges like poverty, unemployment, and illiteracy. Poverty acts as a primary catalyst, with a significant portion of the population below the poverty threshold. Unemployment due to limited work prospects and nepotism contribute to drug use, impacting both individual and familial identities. The consequences involve social stigma, legal complications, and financial burdens. The findings offer insights for policymakers, law enforcement agencies, and stakeholders to develop targeted interventions aimed at addressing the root causes of drug addiction while tackling the challenges posed by evolving trafficking dynamics in the country.

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Gulyamova, Lola, and Dilshod Rakhmonov. "Concept of an integration of open data for socio-economic mapping in Uzbekistan." InterCarto. InterGIS 28, no. 1 (2022): 58–68. http://dx.doi.org/10.35595/2414-9179-2022-1-28-58-68.

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The purpose of the study is the development of a method for integrating non-spatial and geospatial data from different sources for the online dynamic mapping of Uzbekistan at different spatial scales. From the perspective of using open resources in socio-economic cartography, the challenges and perspectives of using online open non-spatial statistical data through the government portal of the Republic of Uzbekistan are considered for web mapping. The method is suggested for building a web-based spatial visualization tool and getting geographic information. In the case when open geospatial data is not available, it is suggested to integrate non-spatial statistical data of open sources into the environment of web mapping. For using new opportunities and tools of geospatial technologies a methodology of using open resources including open datasets, open source software and cloud computing are widely used on all stages of map development. It has been confirmed that this approach represents one of the valuable opportunities for geospatial modelling in developing countries. The benefits of integrating government open non-spatial statistics have been verified through an interactive mapping population at the national, regional, district, and city levels to be effective in addressing policy and governance issues for decision-makers and practitioners.

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TIKUNOV, V. S., A. N. PANIN, and V. R. GAIDUKOV. "ATLAS INFORMATION SYSTEM FOR PRODUCING INTEGRAL INDICES OF THE SOCIO-ECONOMIC DEVELOPMENT OF TERRITORIES." Ser-5_2023_4 78, no. 4 (2023) (2023): 66–74. http://dx.doi.org/10.55959/msu0579-9414.5.78.4.6.

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The study of socio-economic development is an ever-relevant topic. Significant opportunities for the implementation of the topic are provided by the use of atlas information systems (AIS). The paper describes the basic concept of creating a specialized AIS for monitoring, calculating and mapping integral indices of socioeconomic development. A step-by-step process of forming a multilevel system of socio-economic development indices and their calculation is described. Using the example of modeling and mapping of the integral index of socio-demographic development, an approximate description of the system’s functionality is given, as well as a brief geographical description of the results obtained. The issues of developing a universal system of indices and indicators of socio-economic development at the national and regional levels are also considered. The combination of cartographic, geoinformation and statistical approaches implemented within the framework of the AIS concept allows not only creating ample opportunities for visualization and design of cartographic images, but also using the system to analyze and forecast the socio-economic development of a territory according to various parameters, and forming a set of recommendations for decision-making in this sphere.

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Ravindra, Hande, and Telang Piyush. "Mapping the Socio-Economic Development in Pune Division using Wrocklow Taxonomic Classification Method." International Journal of Advance and Applied Research 10, no. 2 (2022): 599–606. https://doi.org/10.5281/zenodo.13905013.

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<strong>Abstract</strong> This study investigates the spatial and temporal distribution of socio-economic development within Pune Division from 1991 to 2011. Utilizing a combined composite index methodology, the analysis focuses on three key variable categories: demographic, economic, and social indicators. The objective is to identify regional disparities in socio-economic development across these dimensions. By examining demographic factors, the study explores variations in population density, age structure, and literacy rates. Economic indicators, such as employment rates, industrialization, and per capita income, are analyzed to assess economic disparities. Social indicators, including access to education, healthcare, and basic amenities, are considered to evaluate the quality of life and social well-being. The combined composite index method allows for a comprehensive assessment of socio-economic development by integrating these three dimensions. This approach enables the identification of regions with high or low levels of development, as well as disparities within each category. The study highlights the unevenness of development patterns across Pune Division, providing valuable insights for policymakers and planners in addressing regional imbalances and promoting sustainable and equitable development.

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Dugarova, G. B., and V. N. Bogdanov. "Socio-Economic Mapping of the Eastern Regions of Russia: Trends and Problems." Geography and Natural Resources 41, no. 1 (2020): 83–92. http://dx.doi.org/10.1134/s1875372820010114.

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Dilham, Ami, and M. Umar Maya Putra. "Socio economic community mapping around Dumai Timur (case study: Tanjung Palas Village)." IOP Conference Series: Earth and Environmental Science 126 (March 2018): 012085. http://dx.doi.org/10.1088/1755-1315/126/1/012085.

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Ilahiane, Hsaïn, and Thomas K. Park. "SOURCES FOR THE SOCIO-ECONOMIC STUDY OF RURAL MOROCCO." International Journal of Middle East Studies 33, no. 2 (2001): 271–90. http://dx.doi.org/10.1017/s0020743801002057.

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This paper explores the utility of 19th- and 20th-century taxation and court records as tools for mapping the changing social topography of rural Morocco. Little serious work has been done with such records to date, and it is hoped that this paper will encourage more researchers to use this material.1 As a subset of the Moroccan official record, legal and tax records obviously have an epistemological character differing from that of private correspondence and even other administrative records. Yet in the post-modern era, it is obvious that this cannot be simply reduced to the official record providing us with truth while private correspondence is a mixture of fiction and possible truth. All sources need to be scrutinized both in the traditional ways of the historian and, more generally, as reflecting social forces conceived broadly.

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Gaffar, Ummu Habibah. "POTENSI SOSIAL EKONOMI DESA TERTINGGAL DI KALIMANTAN TENGAH SEBAGAI SEBUAH DATASET." Wacana: Jurnal Ilmu Sosial dan Ilmu Politik Interdisiplin 11, no. 2 (2024): 745–52. https://doi.org/10.37304/wacana.v11i2.16767.

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This article presents a dataset derived from research aimed at mapping the socio-economic potential of two underdeveloped villages, Sei Bakau and Sei Hambawang, located in Sebangau Kuala District, Pulang Pisau Regency, Central Kalimantan. Data were collected through document studies, non-participant observation, and in-depth interviews. The dataset highlights socio-economic potentials that can serve as assets, offering opportunities for the development and advancement of underdeveloped villages.

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Евгений Васильевич, Попов, Челак Игорь Павлович, and Скворцов Максим Михайлович. "Mapping of segments of the economic ecosystem of the territory." STATE AND MUNICIPAL MANAGEMENT SCHOLAR NOTES 1, no. 3 (2024): 101–10. http://dx.doi.org/10.22394/2079-1690-2024-1-3-101-110.

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Relevance. The rapid introduction of digital technologies into economic activity has marked a new paradigm of economic analysis – the analysis of economic ecosystems. The relevance of the structural study of the economic ecosystems of territories is due to both the weak elaboration of this topic in the world and domestic scientific literature, and the practical need for the formation of scientifically based strategies for the socio-economic development of territories. Goal. The purpose of this study is to develop a methodology for mapping the economic ecosystem of the territory. Materials and methods. The object of this study is the economic ecosystem of the territory. The subject of the study is economic relations for the development of the economic ecosystem of the territory on the basis of mapping its elements. The information base of the research was scientific publications indexed in the Scopus and RSCI databases, as well as the author's results on public management of the development of economic ecosystems. The method of logical system analysis is used as a research method. Results. As a result of the conducted research, a scheme of a map of the industry and sphere of activity of the economic ecosystem is proposed, including indicators, participants, products of activity, development trends, assessment experts and conclusions on the development of this sphere of economic activity. An algorithm for mapping the economic ecosystem of the territory has been developed, which includes the stages of segmentation, the formation of maps of industries, the assessment of development projects and the formation of a strategy for the socio-economic development of the territory. Using the example of the development of the Tyumen region, the applicability of mapping segments of the economic ecosystem of the territory for public management of the development of various fields of activity is shown. The novelty of this study lies in the development of the author's approach to mapping segments of the economic eco-system of the territory, which develops the theory of modeling the structure and development of elements of economic ecosystems.

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Fazliddinova, Zulkhumor. "ANALYSIS BY MAPPING INDUSTRIAL NETWORK INDICATORS IN REGIONS." Economics and education 24, no. 5 (2023): 429–36. http://dx.doi.org/10.55439/eced/vol24_iss5/a72.

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In this article, the theoretical and practical aspects of the use of digital technologies in the analysis of socio-economic development of regions are studied. The trends of social development indicators and dynamics of Namangan region were analyzed using GIS technologies.

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Akbar, Y. Rahmat. "Socio-Economic Mapping of Tarai Bangun Village, Tambang District, Kampar Province, Riau District." Indonesian Journal of Economics, Social, and Humanities 3, no. 1 (2021): 1–12. http://dx.doi.org/10.31258/ijesh.3.1.1-12.

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This research aims to identify environmental factors and the context of vulnerability in local communities, identify social problems and illustrate the socio-economic conditions of local communities, and identify key actors and key groups in Tarai Bangun Village, Tambang District, Kampar Regency, Riau Province . The research design was carried out qualitatively and descriptively with the Rapid Rural Appraisal (RRA) approach with representative samples, in-depth interviews and observations. The results of the study, it was concluded that the parties who were the actors of the social interaction process on the village actor map explained that the village head had a central role in the community, by having a direct relationship to RW, RT, LKMD, KESRA, Posyandu. There are four main socio-economic problems, namely poverty, unemployment, juvenile delinquency and health.

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Drummond, Fiona, and Jen Snowball. "Cultural Clusters as a Local Economic Development Strategy in Rural Small-Town Areas: Sarah Baartman District in South Africa." Bulletin of Geography. Socio-economic Series 43, no. 43 (2019): 107–19. http://dx.doi.org/10.2478/bog-2019-0007.

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AbstractTheory suggests that cultural and creative industries (CCIs) cluster in cities where levels of socio-economic development are higher and where they can take advantage of the city’s hard and soft infrastructure. However, some South African rural areas and small towns have identified CCIs as potential economic drivers. This paper investigates the relationship between the presence of CCIs in non-metropolitan spaces and levels of socio-economic development using a municipal level socio-economic status index and GIS mapping. The results show a positive relationship between larger numbers of CCIs and higher levels of development. It is suggested that a threshold level of development must be met before CCIs will cluster in an area and become a viable option for promoting local economic development.

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Aldin, Muhammad, Iskandar Zainudin Rela, and Budiyanto Budiyanto. "PEMETAAN SOSIAL DAN PARTISIPASI STAKEHOLDER DALAM PERENCANAAN PROGRAM PENGEMBANGAN EKONOMI KOMUNITAS DI DESA MAPILA KECAMATAN KABAENA UTARA KABUPATEN BOMBANA." Jurnal Ilmiah Penyuluhan dan Pengembangan Masyarakat 4, no. 3 (2024): 301–10. http://dx.doi.org/10.56189/jippm.v4i3.19.

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This study aims to conduct socio-economic mapping of the community in Mapila Village, North Kabaena Sub-district, taking into account stakeholder perceptions as a basis for community economic development planning. The study used a qualitative descriptive method focusing on socio-economic conditions and stakeholders' perceptions, using Rapid Rural Appraisal (RRA) techniques, household surveys, Focus Group Discussions (FGDs), and semi-structured interviews. The research findings reveal important insights into the community's socio-economic conditions, stakeholder perceptions, and proposed development programmes, and emphasise the importance of collaboration between the government, private sector, and community in creating effective and sustainable development strategies. The research highlights the need to improve education facilities, health services, infrastructure and economic empowerment programmes to support sustainable development in Mapila Village.

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Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi-Niaraki, Farbod Farhangi, and Soo-Mi Choi. "COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms." International Journal of Environmental Research and Public Health 18, no. 18 (2021): 9657. http://dx.doi.org/10.3390/ijerph18189657.

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The reduction of population concentration in some urban land uses is one way to prevent and reduce the spread of COVID-19 disease. Therefore, the objective of this study is to prepare the risk mapping of COVID-19 in Tehran, Iran, using machine learning algorithms according to socio-economic criteria of land use. Initially, a spatial database was created using 2282 locations of patients with COVID-19 from 2 February 2020 to 21 March 2020 and eight socio-economic land uses affecting the disease—public transport stations, supermarkets, banks, automated teller machines (ATMs), bakeries, pharmacies, fuel stations, and hospitals. The modeling was performed using three machine learning algorithms that included random forest (RF), adaptive neuro-fuzzy inference system (ANFIS), and logistic regression (LR). Feature selection was performed using the OneR method, and the correlation between land uses was obtained using the Pearson coefficient. We deployed 70% and 30% of COVID-19 patient locations for modeling and validation, respectively. The results of the receiver operating characteristic (ROC) curve and the area under the curve (AUC) showed that the RF algorithm, which had a value of 0.803, had the highest modeling accuracy, which was followed by the ANFIS algorithm with a value of 0.758 and the LR algorithm with a value of 0.747. The results showed that the central and the eastern regions of Tehran are more at risk. Public transportation stations and pharmacies were the most correlated with the location of COVID-19 patients in Tehran, according to the results of the OneR technique, RF, and LR algorithms. The results of the Pearson correlation showed that pharmacies and banks are the most incompatible in distribution, and the density of these land uses in Tehran has caused the prevalence of COVID-19.

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Sankara, Santhosh, and Nadeson Sugitha. "Crime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural Networks." Journal of Computer Science 20, no. 10 (2024): 1203–13. http://dx.doi.org/10.3844/jcssp.2024.1203.1213.

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Irfiansyah, Aldo Leofiro, Ari Rismansyah, Novia Permatasari, Isnaeni Noviyanti, Atqo Mardiyanto, and Ade Koswara. "Implementation of Machine Learning and Its Interpretation for Mapping Social Welfare Policy in Indonesia." Proceedings of The International Conference on Data Science and Official Statistics 2023, no. 1 (2023): 317–36. http://dx.doi.org/10.34123/icdsos.v2023i1.383.

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This research leverages data from the 2022 Early Socio-Economic Registration (Regsosek) activity to develop a machine learning model capable of predicting family expenditure levels based on the Proxy Mean Test (PMT) with high accuracy. By integrating the SHAP (SHapley Additive exPlanations) method for model interpretation, we identify the contributions of socio-economic features to expenditure predictions and link them to relevant social assistance programs. We compare two regions, Kulonprogo Regency and Yogyakarta City, representing varying poverty levels, and identify unique characteristics influencing family welfare in each area. The results highlight that effective policy interventions must be tailored to the unique characteristics of each region and family, taking into account dimensions such as housing, education, income, and community expenditures. This research provides valuable insights for policymakers, demonstrating that successful poverty alleviation policies are data-driven and adaptable to the diverse socio-economic realities across regions.

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Yusoff, N. S., M. F. Rashid, and N. A. Halim. "The Impact of Covid-19 Pandemic Towards Socioeconomic Wellbeing of Rural Community in Malaysia." IOP Conference Series: Earth and Environmental Science 1064, no. 1 (2022): 012054. http://dx.doi.org/10.1088/1755-1315/1064/1/012054.

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Abstract The Covid-19 pandemic has impacted the socio-economic well-being of people either in urban or rural areas. The Covid-19 cases and fatalities that concentrated in major urban areas in Malaysia. However, as the pandemic progressed, the rural community faced health vulnerability due to the Covid-19 pandemic threat. Among the significant impacts of the Covid-19 pandemic are income generation, economic activity work, and health vulnerability, especially the rural community involved in rural economic activities such as agriculture and fishery. Therefore, this paper aims to investigate the impact of the Covid-19 pandemic on the socio-economic well-being of rural communities in Malaysia. The case study selection is in Mersing, Pontian and Batu Pahat involving three villages using GIS mapping. The methodology used is quantitative research through a household survey conducted using 182 heads of households based on the economic and social dimensions. The finding reveals that most of the target group experienced a decline in income generation, economic activity restriction, and education issues. Furthermore, there are also decreasing in the economically active population (age 15-60) in the village. As a result, this study is essential in formulating a post-Covid-19 recovery plan regarding socio-economic well-being impacts and the revival of rural community well-being in Malaysia through Geographic Information Systems (GIS) mapping.

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Krasnoshtanova, N. E., and A. K. Cherkashin. "Valuation mapping of hazards of the crisis natural and economic situations." Geodesy and Cartography 929, no. 11 (2017): 40–49. http://dx.doi.org/10.22389/0016-7126-2017-929-11-40-49.

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An innovative technique for the secondary use of cartographic information for creating assessment hazard maps of crisis natural and economic situations and an integral assessment of the sustainability economic development and the quality of live is presented. Valuation mapping was carried for the Slyudyansky district of the Irkutsk region. A database has been created for homogeneous network of plots, which contains heterogeneous information about the nature and socio-economic environment of the district. Spatial data were processed using multidimensional statistics on the base of reliability theory models. An account of the environmental correction for each plots is an important aspect of the proposed technique of assessing and creating through maps. This makes it possible to reduce the evaluation function to an invariant form common to all locations and it is used in through way to create assessment maps for natural and socio-economic objects. As a result, a series of raster maps of through thematic content was made. The map of integral hazard of emergence of economic crisis situation displays the lowest hazard values for the territories of settlements and their surrounding areas, as well as areas along roads and railways. Additionally it allocates undeveloped valley of taiga rivers, advanced for economic use, primarily for recreational purposes.

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Kumar, Praveen, Christine Fürst, and P. K. Joshi. "Socio-Ecological Systems (SESs)—Identification and Spatial Mapping in the Central Himalaya." Sustainability 13, no. 14 (2021): 7525. http://dx.doi.org/10.3390/su13147525.

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The Himalaya is a mosaic of complex socio-ecological systems (SESs) characterized by a wide diversity of altitude, climate, landform, biodiversity, ethnicity, culture, and agriculture systems, among other things. Identifying the distribution of SESs is crucial for integrating and formulating effective programs and policies to ensure human well-being while protecting and conserving natural systems. This work aims to identify and spatially map the boundaries of SESs to address the questions of how SESs can be delineated and what the characteristics of these systems are. The study was carried out for the state of Uttarakhand, India, a part of the Central Himalaya. The presented approach for mapping and delineation of SESs merges socio-economic and ecological data. It also includes validation of delineated system boundaries. We used 32 variables to form socio-economic units and 14 biophysical variables for ecological units. Principal component analysis followed by sequential agglomerative hierarchical cluster analysis was used to delineate the units. The geospatial statistical analysis identified 6 socio-economic and 3 ecological units, together resulting in 18 SESs for the entire state. The major characteristics for SESs were identified as forest types and agricultural practices, indicating the influence and dependency of SESs on these two features. The database would facilitate diverse application studies in vulnerability assessment, climate change adaptation and mitigation, and other socio-ecological studies. Such a detailed database addresses particularly site-specific characteristics to reduce risks and impacts. Overall, the identified SESs will help in recognizing local needs and gaps in existing policies and institutional arrangements, and the given methodological framework can be applied for the entire Himalayan region and for other mountain systems across the world.

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Bakhar, Muhamad, and Evanita Evanita. "Literature Mapping on IoT Integration and Smart City: Bibliometric Analysis and Socio-Economic Impact." West Science Interdisciplinary Studies 2, no. 10 (2024): 1866–78. http://dx.doi.org/10.58812/wsis.v2i10.1328.

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The integration of the Internet of Things (IoT) in smart cities has become a transformative force, revolutionizing urban development and management. This study provides an in-depth analysis of the socio-economic impacts of IoT integration in smart cities, examining its influence on economic growth, job creation, public service optimization, social inequality, privacy, security, and environmental sustainability. Through a comprehensive literature review and bibliometric analysis, we highlight the opportunities and challenges that IoT technologies present in the urban context. While IoT fosters economic growth and improves service efficiency, concerns related to data privacy, security, and the digital divide pose significant challenges. Additionally, IoT's role in promoting environmental sustainability is emphasized, as smart cities increasingly adopt technology to monitor resources and reduce carbon emissions. This study underscores the importance of addressing these socio-economic factors to ensure the equitable and sustainable development of smart cities, thereby maximizing the benefits of IoT technologies while mitigating potential risks.

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Kuzmin, S. B., and D. A. Lopatkin. "Mapping nature management risk in the Russian Federation Districts." Geodesy and Cartography 963, no. 9 (2020): 14–29. http://dx.doi.org/10.22389/0016-7126-2020-963-9-14-29.

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The authors present a method of assessing the risk of nature management and its mapping in the Russian Federation constituent entities and those of the Siberian Federal District. The assessments were carried out for a comprehensive analysis of the Russian Federation Districts as a single administrative-territorial entity according to their own established factors of environmentally dangerous processes and the parameters of protection against natural disasters. The risk of nature management equally depends on both the type of the danger and the protection against natural disasters, in other words – on both the natural and socio-economic situation in the Russian Federation Districts. In many cases, the indicator of protection against natural disasters plays even a leading part, since its assessment includes current socio-economic characteristics that determine the real ability of management structures to predict and deal with the consequences of natural disasters, as well as psychological indicators, i.e. the will and sequence of the managers’ actions in making specific resolutions on environmental management under risky conditions.

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Krysiak, Zuzanna. "Risk Management Tools in the Agriculture Sector: an Updated Bibliometric Mapping Analysis." Studies in Risk and Sustainable Development 398 (2024): 1–14. https://doi.org/10.22367/srsd.2024.398.4.

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PURPOSE: The paper aims to analyze the phenomenon of climate migration and understand the dynamics of this process in the context of climate change. The study explores the causes, historical contexts, and forecasting models of migration driven by environmental degradation, focusing on the interplay of climate factors, socio-economic dynamics, and human decision-making processes. DESIGN/METHOD: The research is based on a comprehensive literature review and analysis of various cli- mate migration prediction models, including the agent-based models, gravity models, econometric models, radiation models, and systems dynamics models. It also examines historical examples of climate change- induced migration to provide insights into current and future challenges. RESULTS/FINDINGS: The study reveals that climate migration results from a complex interaction between various climatic and socio-economic factors. The historical analyses offer valuable insights into human responses to the changing environmental conditions, which can inform future strategies for managing climate migration. ORIGINALITY/VALUE: The study gives a new perspective to climate migration research by combining diverse forecast models and historical contexts to provide a comprehensive understanding of the phenom- enon. It offers insights into the challenges and opportunities posed by climate change-driven migration for societies worldwide. KEYWORDS: climate migration, environmental degradation, socio-economic dynamics, prediction models, climate change. JEL: Q54, R23, O15.

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Gadal, Sébastien, and Gintautas Mozgeris. "Advances of Remote Sensing in Land Cover and Land Use Mapping." Remote Sensing 17, no. 12 (2025): 1980. https://doi.org/10.3390/rs17121980.

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Understanding and monitoring land use and land cover (LULC) dynamics have become increasingly critical in the face of mounting socio-economic, political, and environmental challenges, including climate change, urbanization, and resource degradation [...]

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Eddy, Brian. "A GIS methodology for mapping regional and community vitality for Canada using the CanEcumene 3.0 Geodatabase with census data." One Ecosystem 9 (June 26, 2024): e122079. https://doi.org/10.3897/oneeco.9.e122079.

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Many ecosystem-based management (EBM) and related applications require integrating geospatial information about socio-economic conditions of human populated areas within a study area. However, integrating socio-economic data in such a way that it can be related to ecological data is challenging due to issues associated with spatial representation between socio-economic and ecological data frameworks. In Canada, this problem is particularly acute given its large geographic size, diversity of environments and highly irregular population distribution. Although several indices have been developed for Canada related to well-being and vulnerability, their suitability for EBM-related applications is limited. This article presents a GIS-based methodology for mapping <i>regional and community vitality index</i> (RVI/CVI) for Canada using standard Census data integrated with the CanEcumene 3.0 Geospatial Database (GDB). The method uses percentile ranks of five sub-indicators of vitality covering population growth, age structure, education, employment and economic wealth. Results reveal a number of notable patterns and trends in socio-economic conditions across the country and across different types of communities and regions. Most notable are decreasing CVI values from economic core regions to rural and remote communities; decreasing scores from high population centres to lower populated areas and lower scores for Indigenous communities when compared with non-Indigenous communities. A series of maps show variation in RVI/CVI values for specific locations with changes over time.

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POPOV, Evgenii V., Igor' P. CHELAK, and Maksim M. SKVORTSOV. "Directions of economic analysis based on the results of mapping the ecosystem of the territory." Economic Analysis: Theory and Practice 22, no. 11 (2023): 2078–99. http://dx.doi.org/10.24891/ea.22.11.2078.

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Subject. The article investigates economic relations based on the analysis of mapping the territory of the ecosystem. Economic analysis is one of the main tools of ecosystem management aimed at socio-economic ecosystem communities development. Convergence of mapping the territory’s ecosystem and various methods of its analysis enables to understand the nature and features of various types of ecosystems, identify key growth points and promising directions of ecosystem dynamics. Objectives. The aim is to systematize directions of economic analysis based on the results of mapping the ecosystem of the territory. Methods. We employed content analysis of scientific papers, logical and systems methods. The research algorithm includes a review of previous studies, the research problem formulation, systematization of directions of economic analysis of territory’s ecosystem, discussion of possibilities of designing development strategies based on the economic analysis. The methodology rests on the system concept and the paradigm of sustainable development (sustainable production). Results. The paper offers a systematized table showing the areas of economic analysis of territory’s ecosystem. Conclusions. The study formulates opportunities for designing sustainable development strategies based on economic analysis and mapping the ecosystem of the territory. It identifies possibilities of strategizing the development of territory’s ecosystem on the basis of economic analysis, by mapping the territory’s ecosystem, using the case of the Tyumen Oblast.

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Ahamer, Gilbert, Thomas Jekel, and Robert Vogler. "Participate When Mapping Realities." Journal of Cases on Information Technology 12, no. 3 (2010): 100–125. http://dx.doi.org/10.4018/jcit.2010070107.

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Tools for recording individual perspectives of realities have long constituted the guiding theme for geographers. In this article, the “bird’s eye” view resides within the spectator of complex socio-economic realities. The cases presented in this paper show the practical contributions of IT, especially of e-learning platforms and of Geographic Information Science and Systems, in facilitating the exchange of fact-based concepts for the construction of social spaces and spaces of understanding. Societal learning can enlarge and approximate spaces of understanding. Social spaces are a type of “social capital”. Learning changes interdisciplinary realities (“n”) seen through the lenses of interculturally diverse understanding (“m”), hence it constitutes a m:n type of “mapping perceptions” that successfully facilitates consensus finding.

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Khan, Debdip, and Sudatta Banerjee. "Value Chain Mapping of Tourism in Birbhum." International Journal of Tourism and Hospitality Management in the Digital Age 4, no. 2 (2020): 23–33. http://dx.doi.org/10.4018/ijthmda.2020070103.

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Tourism is one of the most enhancing and continuous developing economic sectors throughout the world. The main objective of the study is to develop a proper value chain mapping on Birbhum tourism, along with generation of different strategies for the integration of other variable resources with local communities. The study also aims at developing different maps on tourism value chain along with some distinct sub-chains in the entire Birbhum district. Local development of Birbhum tourism can be possible through proper value chain mapping. Through mapping of proper value chain, Birbhum tourism will gradually develop as a major strength of West Bengal's economic development. In this paper, the authors addressed the relationship between the supply of products from firm level to tourist in the tourist spot and the impact of value chain mapping (VCM). The current work emphasizes on the enhancement of the local tourism through uninterrupted activities of VCM, developing the socio-economic structure of the tourism through flow of proper VCM.

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Ushakova, Elena O., and Alexey V. Dubrovsky. "ESTIMATION OF TOURISM AND RECREATION POTENTIAL IN THE REGION FOR MAPPING OF TERRITORIAL PLANNING (ON THE EXAMPLE OF NOVOSIBIRSK REGION)." Interexpo GEO-Siberia 3, no. 2 (2020): 57–65. http://dx.doi.org/10.33764/2618-981x-2020-3-2-57-65.

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In contemporary conditions recreation and tourism are perspective development directions of many regions in the Russian Federation. Thereby, the socio-economic region development program incorporates strategies of tourist territory development. The main goal of this study is to estimate the recreation potential of the municipalities in Novosibirsk Region and to elaborate recommendations for the mapping of territorial planning concerning specific land use for the recreation and tourism development. The authors consider methodological issues of recreation potential estimation for mapping. At present this direction is not studied enough. There is a problem to choose the method of recreation potential estimation that lets makes decisions at the regional and local levels. As a result of recreation potential estimation of Novosibirsk Region the most attractive for investment in tourism and recreation municipalities and elaborated recommendations for specific land use by mapping and compilation of tourist maps were revealed. The estimation results of recreation potential in municipalities are used for the development of the Strategy of socio-economic development of Novosibirsk Region till 2030.

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Parahita, Gilang Desti. "Mapping Digital Fluency in Diverse Socio-Economic Status of Citizens of DKI Jakarta 2017." INFORMASI 47, no. 2 (2017): 213. http://dx.doi.org/10.21831/informasi.v47i2.16224.

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The loss of Ahok-Djarot, incumbent candidate pair, in the second round of gubernatorialelection was allegedly related to the spread of digital disinformation. In addition, racialand religious sentiments in the society of DKI Jakarta have been fathomed evident inthe last election. The phenomenon has driven a study on digital fluency in diverse socioeconomicstatus (SES) for example age, gender, religion, ethicity, religiousity, level ofeducation and level of income in family. Survey was conducted to 189 voters of DKIJakarta. Results show that respondents from different socioeconomic background havediverse digital fluency with the widest gaps occurred between people from lowest andhighest level of religiosity, income and education. Respondents from different gender,age generation and religion background do not have considerable fluency gaps. However,using pearson correlational analysis, only level of income and education that predictsdigital fluency level.Fenomena kekalahan Ahok-Djarot pada putaran kedua Pilgub DKI Jakarta tersebutditengarai mudahnya warga termakan informasi digital bohong. Selain itu, sentimenras dan agama di masyarakat DKI Jakarta yang selama ini bagaikan api dalamsekam dianggap terbukti pada Pilgub DKI terakhir. Fenomena tersebut mendorongdilakukannya riset mengenai tingkat kefasihan digital pada beragam status sosialekonomi. Status sosial ekonomi yang dimaksud dalam konteks riset ini adalah ialahusia, gender, agama, etnis, tingkat kesalehan beragama, tingkat pendidikan, dantingkat pendapatan dalam keluarga. Survei diselenggarakan terhadap 189 pemilih diDKI Jakarta. Temuan menunjukkan bahwa responden yang berlatar belakang beragamsosio ekonomi memiliki keragaman kefasihan digital pula dengan kesenjangankefasihan tertinggi terjadi di antara kelompok responden berkelas tertinggi danterendah di tingkat kesalehan, pendapatan dan pendidikan. Responden dari gender,generasi usia dan agama yang berbeda tidak menunjukkan kesenjangan fluensi yangpatut dipertimbangkan. Selain itu, dengan menggunakan analisis korelasional, hanyalevel pendapatan dan pendidikan yang mempengaruhi level kefasihan digital

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Krauss, Judith. "What is cocoa sustainability? Mapping stakeholders’ socio-economic, environmental, and commercial constellations of priorities." Enterprise Development and Microfinance 28, no. 3 (2017): 228–50. http://dx.doi.org/10.3362/1755-1986.17-000jk.

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Collin, Antoine, Kazuo Nadaoka, and Lawrence Bernardo. "Mapping the Socio-Economic and Ecological Resilience of Japanese Coral Reefscapes across a Decade." ISPRS International Journal of Geo-Information 4, no. 2 (2015): 900–927. http://dx.doi.org/10.3390/ijgi4020900.

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Sonu, Kumar, and K. K. Jha. "Mapping Socio-economic and Entrepreneurial Diversity among Makhana Farmers in Bihar through Cluster Analysis." Indian Journal of Extension Education 61, no. 3 (2025): 80–85. https://doi.org/10.48165/ijee.2025.61315.

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Makhana (Euryale ferox), a high-value aquatic crop, plays a pivotal role in the rural economy of Bihar, particularly in the Mithilanchal and Kosi regions. However, the socio-economic characteristics of makhana farmers are far from homogeneous, reflecting diverse livelihood strategies, access to resources, and market participation levels. The study presents a replicable protocol to classify socio-economic and entrepreneurial diversity among makhana farmers. A multistage stratified random sampling technique was used to collect primary data from 120 farmers across four major districts of Bihar during 2022-23. Ward’s hierarchical clustering followed by k-means clustering identified three statistically distinct groups based on landholding, income, and entrepreneurial indicators. ANOVA and Levene’s tests confirmed significant variation across the clusters. The findings support the development of targeted, group-specific extension strategies. The proposed framework serves as a replicable protocol for classifying farmer heterogeneity in similar agricultural contexts. The analysis revealed three distinct clusters of farmers viz., Well-capitalised Makhana Farmers, Progressive and Prosperous Farmers, and Traditional, Medium-Level Farmers–each with unique characteristics and development needs. The findings support the development of targeted, group-specific extension strategies. The proposed framework serves as a replicable protocol for classifying farmer heterogeneity in similar agricultural contexts.

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Verma, Manish K., and Riya Singh. "Mapping Social- Legal Identity and Inequality: A Sociological Exploration of the Impact of Covid-19 Pandemic on Women Street Vendors in Urban Areas." Oct-Nov 2023, no. 36 (September 26, 2023): 13–25. http://dx.doi.org/10.55529/jsrth.36.13.25.

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Gendered development is a critical factor for inclusive development. The inclusion of women in central policies is indispensable for any country's development. India, with its vast economic and socio-cultural diversity, also faces socio-cultural inequality. Street vendors, who provide essential goods and services at affordable prices, are a marginalized and neglected group in our society. Despite their significant contribution, they remain impoverished and excluded from the mainstream. The COVID- 19 pandemic aggravated the existing social inequalities, particularly for street vendors. Lockdowns and lack of economic opportunities led to forceful migration and economic struggles for these vendors, especially women. In this background, this study focuses on two research questions: the socio-economic and legal status of women street vendors during the pandemic and an assessment of legal enactments for their protection. The study utilizes secondary sources and follows a descriptive approach. The main argument of the paper is that addressing gendered development is crucial for the progress of India. COVID- 19 Pandemic has exacerbated the challenges faced by women street vendors, emphasizing the necessity of comprehensive measures to ensure their socio economic wellbeing and legal protection. It is essential to evaluate legal frameworks in order to protect socio-legal rights

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Onyedikachim, Ihuoma Njoku, and Izuchukwu Igbokwe Joel. "Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 175–80. https://doi.org/10.5281/zenodo.5804862.

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The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving the quality of life and social development through its objectives; to identify the changes of the landcover and landuse pattern of the study area for a period of 30 years i.e. 1987 to 2002 to 2017, to evaluate the socio-economic and environmental impact of these changes and to predict future impact of landcover / landuse changes in the study area. The methodology adopted in this study involved sourcing of satellite data from United States Geological Survey (USGS) for the period of years under study, social survey in Owerri Municipal Area for socio-economic impact monitoring. ArcGIS 10.5 and QGIS 2.9 software were used for data processing, analysis and presentation. The study observed a significant increase in built-up area from 1987 (34%) to 2017 (65%), on the contrary, there was a noticeable decrease in the class of bare land (26% to 12%) and vegetation. (37% to 15%) followed by water body which kept fluctuating as result of rainfall. Rapid population growth triggered by rural urban migration coupled with hasty socio-economic development were the main drivers of these changes. Results showed that remote sensing and GIS approach are recommended for further studies as the tools are efficient for landcover/landuse mapping.

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Rajah, Perushan, John Odindi, Onisimo Mutanga, and Zolo Kiala. "The utility of Sentinel-2 Vegetation Indices (VIs) and Sentinel-1 Synthetic Aperture Radar (SAR) for invasive alien species detection and mapping." Nature Conservation 35 (June 14, 2019): 41–61. http://dx.doi.org/10.3897/natureconservation.35.29588.

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The threat of invasive alien plant species is progressively becoming a serious global concern. Alien plant invasions adversely affect both ecological services and socio-economic systems. Hence, accurate detection and mapping of invasive alien species is valuable in mitigating adverse ecological and socio-economic effects. Recent advances in active and passive remote sensing technology have created new and cost-effective opportunities for the application of remote sensing to invasive species mapping. In this study, new generation Sentinel-2 (S2) optical imagery was compared to S2 derived Vegetation Indices (VIs) and S2 VIs fused with Sentinel-1 (S1) Synthetic Aperture Radar (SAR) imagery for detecting and mapping the American Bramble (Rubuscuneifolius). Fusion of S2 VIs and S1SAR imagery was conducted at pixel level and multi-class Support Vector Machine (SVM) image classification was used to determine the dominant land use land cover classes. Results indicated that S2 derived VIs were the most accurate (80%) in detecting and mapping Bramble, while fused S2 VIs and S1SAR were the least accurate (54%). Findings from this study suggest that the application of S2 VIs is more suitable for Bramble detection and mapping than the fused S2 VIs and S1SAR. The superior performance of S2 VIs highlights the value of the new generation S2 VIs for invasive alien species detection and mapping. Furthermore, this study recommends the use of freely available new generation satellite imagery for cost effective and timeous mapping of Bramble from surrounding native vegetation and other land use land cover types.

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The threat of invasive alien plant species is progressively becoming a serious global concern. Alien plant invasions adversely affect both ecological services and socio-economic systems. Hence, accurate detection and mapping of invasive alien species is valuable in mitigating adverse ecological and socio-economic effects. Recent advances in active and passive remote sensing technology have created new and cost-effective opportunities for the application of remote sensing to invasive species mapping. In this study, new generation Sentinel-2 (S2) optical imagery was compared to S2 derived Vegetation Indices (VIs) and S2 VIs fused with Sentinel-1 (S1) Synthetic Aperture Radar (SAR) imagery for detecting and mapping the American Bramble (Rubus cuneifolius). Fusion of S2 VIs and S1 SAR imagery was conducted at pixel level and multi-class Support Vector Machine (SVM) image classification was used to determine the dominant land use land cover classes. Results indicated that S2 derived VIs were the most accurate (80%) in detecting and mapping Bramble, while fused S2 VIs and S1 SAR were the least accurate (54%). Findings from this study suggest that the application of S2 VIs is more suitable for Bramble detection and mapping than the fused S2 VIs and S1 SAR. The superior performance of S2 VIs highlights the value of the new generation S2 VIs for invasive alien species detection and mapping. Furthermore, this study recommends the use of freely available new generation satellite imagery for cost effective and timeous mapping of Bramble from surrounding native vegetation and other land use land cover types.

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Krivenko, N. V. "Directions of eliminating threats to the socio-economic development of regions." National Interests: Priorities and Security 16, no. 7 (2020): 1384–400. http://dx.doi.org/10.24891/ni.16.7.1384.

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Subject. I devise a system approach to identifying and evaluating threats in ensuring the economic security of regions. Objectives. The study focuses on threats to the socio-economic development of regions in difficult geopolitical situations and determines how they can be eliminated. IT is important to determine key threats to the socio-economic development and the way they can be eliminated regionally. Methods. The article employs the multilevel and integrated approaches, a set of methods, such as systems, comparative and structural analyses, road mapping. Results. The article sets forth a road map for eliminating threats to the socio-economic development of regions, metrics to monitor the current situation and identify threats. I analyzed the socio-economic development of regions in the Ural Federal District and pinpointed the main threats. I conducted the comparative analysis of indicators to monitor the socio-economic development of regions, illustrative the cases of the Russian Federation, Ural Federal District, Sverdlovsk Oblast for 2018 year-on-year. The Ural Federal District and Sverdlovsk Oblast were found to exceed Russia’s average indicators in terms of directions of eliminating threats. It is indicative of opportunities to effectively employ the high production capacity of the old industrial region. Conclusions and Relevance. To settle directions of the socio-economic development of regions, economic agents should consider the elimination of threats, such as the new industrialization, comprehensive integration of innovation throughout economic sectors, import substitution, integration of production and social sector. The findings can be used by constituent entities of the Russian Federation to comprehensively assess the socio-economic development of regions, discover the main threats, and choose what should be done to eliminate them.

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