scholarly journals Creating a geodemographic classification model within geo-marketing: the case of Eskişehir province

2020 ◽  
Vol 47 (47) ◽  
pp. 45-61
Author(s):  
Mustafa Ergun ◽  
Hakan Uyguçgil ◽  
Özlem Atalik
Keyword(s):  
Clustering Analysis ◽  
Classification Model ◽  
Competitive Environment ◽  
Household Level ◽  
The People ◽  
Urban Neighbourhoods ◽  
Package Program ◽  
Components Analysis ◽  
Geodemographic Classification ◽  
Oriented Approach

AbstractBusinesses today face great competition in their operations, making it necessary for them to adopt a “customer-oriented” approach. In this competitive environment, where customers are more valuable, enterprises accrue great advantages from an understanding of the characteristics of the target audience in all dimensions. This is where the importance of geo-marketing and demographic segmentation for enterprises emerges. This study performed a geo-demographic segmentation of the urban neighbourhoods of Eskişehir province and sought to determine the characteristics of the people living in these neighbourhoods at the household level. The Groups created using the SPSS package program as well as Principal Components Analysis (PCA) and Hierarchical Clustering Analysis were then mapped on the GIS platform as urban neighbourhoods.

scholarly journals Indigenizing Knowledge for Development: Epistemological and Pedagogical Approaches

2017 ◽  
Vol 43 (2) ◽  
pp. 34-50 ◽  
Author(s):  
Seth Oppong
Keyword(s):  
Indigenous Knowledge ◽  
Current Method ◽  
Double Loop ◽  
Economic Progress ◽  
Double Loop Learning ◽  
The People ◽  
Conducting Research ◽  
Teaching Learning ◽  
Best Fit ◽  
Oriented Approach

Possessing endogenous knowledge can help Africans formulate practical solutions to our problems that best fit our circumstances to improve our livelihood. Endogenous knowledge can be considered as knowledge about the people, by the people and for the people. This suggests that economic progress is most likely to occur in societies that succeed in linking their knowledge base to innovation systems. But can Africans create such indigenous knowledge? This paper outlines an approach that suggests modification in the current epistemology and pedagogy applied in teaching, learning and research. It is being proposed here that the African scholar should adopt a problem-oriented approach in conducting research as opposed to the current method-oriented approach that prevents the African from examining pertinent African problems. Pedagogy should also change from single-loop learning in which assumptions underlying western theories and concepts are not examined to double-loop learning. In addition, there is the need to revise the training of the next generation of African scholars and modes of knowledge dissemination. The African scholar must be educated on how to apply critical theory to screen imported knowledge. African universities should also rely less on publications in the so-called international journals as the criterion for staff promotion and rather rely more on publications in domestic journals, staff contribution to solving African problems and the number of postgraduates successfully supervised. The journey to creating indigenous knowledge will be long. As such, a ‘front’ should be nurtured to clear the path.

Impact of Climate Change on Rural Livelihood: A Case Study of Central Rajasthan

2021 ◽  
Vol 7 (4) ◽  
pp. 19-27
Author(s):  
Saifuddin Soz ◽  
Dhananjay Mankar
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Extreme Weather Events ◽  
Household Level ◽  
Impact Of Climate Change ◽  
The People ◽  
Weather Events ◽  
Rural Livelihood ◽  
The Pacific ◽  
The Impact

Climate change is already bringing tremendous influence on people’s lives, particularly the underprivileged. It’s already visible in a variety of ways. In recent decades, Asia and the Pacific have seen consistent warming trends as well as more frequent and powerful extreme weather events such as droughts, cyclones, floods, and hailstorms. This study was done in Ajmer District of Rajasthan, to find out the climate variation in the last 10 years. The study describes the effects due to climate change on the livelihoods of the people, so a descriptive research design was used for the study to find out the impact of climate change on rural livelihood in central Rajasthan. The study is based on a large representative of sample, quantitative data was collected to gain an idea of the impact on the livelihoods due to climate change at the household level. It shows the negative impact of climate change on rural livelihood which forced the people to change their livelihood directly or indirectly. It was found that climate change had an impact on people’s lives and people do understand the variation in climate change in terms of changes in the weather, unseasonal rain, and drought.

scholarly journals Application of chemometrics to identifying solid fuels and their origin

2013 ◽  
Vol 11 (2) ◽  
pp. 151-159 ◽  
Author(s):  
Marcin Sajdak
Keyword(s):  
Solid Fuel ◽  
Clustering Analysis ◽  
Rapid Assessment ◽  
Environmental Issues ◽  
Solid Fuels ◽  
Emission Characteristics ◽  
Hierarchical Clustering Analysis ◽  
Degree Of Contamination ◽  
Clustering Techniques ◽  
Components Analysis

AbstractThe aim of this work was to implement a chemometric analysis to detect the relationships between the analysed variables in samples of solid fuels. Efforts are being made to apply chemometrics methods in environmental issues by developing methods for the rapid assessment of solid fuels and their compliance with the required emission characteristics regulations. In the present investigation, two clustering techniques—hierarchical clustering analysis (HCA) and principal components analysis (PCA)—are used to obtain the linkage between solid fuel properties and the type of sample. These analyses allowed us to detect the relationships between the studied parameters of the investigated solid fuels. Furthermore, the usefulness of chemometrics methods for identification of the origin of biofuels is shown. These methods will enable control of the degree of contamination.

scholarly journals Conditions for receiving the basic services by the rural population: the household aspect social innovations in the system of socio-economic relations

2008 ◽  
Vol 27 (4) ◽  
pp. 87-95
Author(s):  
I. V. Prokopa ◽  
◽  
◽  
Keyword(s):  
Rural Population ◽  
Rural Settlements ◽  
Social Infrastructure ◽  
Economic Relations ◽  
Household Level ◽  
The People ◽  
The Social ◽  
Social Innovations ◽  
Basic Services ◽  
Aspect Social

The article presents the results of the typologization of Ukraine’s rural settlements by the level of their provision by objects of the service sphere, which characterizes the conditions for the people to obtain a collection of vitally necessary services at the places of residence; and clarifies the changes, which have occurred in the social infrastructure of villages on the household level in the transformational period, and the perspectives to improve the access of the rural population to high-quality services according to the principles of the development of villages.

scholarly journals Flood Risk Management and its Compliance in Loko Community Adamawa State, Nigeria

2021 ◽  
Vol 04 (12) ◽  
Author(s):  
Ndagana Iyami Hadiza ◽  
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Management Practices ◽  
Case Study Research ◽  
Flood Risk Management ◽  
Household Level ◽  
The People ◽  
Limited Compliance ◽  
Support Programmes ◽  
Management Functions

Flood risk management functions to reduce socio-economic and human resources associated with disasters. This study investigates flood risk administration for the socio-demographic progress of the Loko Community in the Song local government area in Adamawa State, Nigeria. The study’s objective was to evaluate the compliance levels to flood risk management practices, challenges and interventions adopted to address the concerns. The study utilized a case study research design while targeting a population of 4,200 inhabitants comprising, 800 households, 20 NEMA staff and 40 ADSEMA staff. The findings indicated that floods significantly affects the socio-economic condition and livelihoods of the people. Moreover, the study found that institutional, cultural, and demographic factors limited compliance to FRM practices, necessitating the adoption of appropriate interventions. Therefore, it is necessary because homes far from flood-prone areas will mitigate the adverse flood effects. Similarly, the Ministry of Agriculture and Cooperatives through the Extension Services should incentivize the communities through funding to increase the area cultivated on the upland to enhance the food security at the household level. There should be increased support programmes for the affected, and viable farmers prioritized for the support programmes. The study concludes that there is a need to develop better and appropriate measures to prepare and mitigate the effects of floods. Socio-economic problems such as poverty, livelihood profile, cultural views, the position of weaker social groups, and the rights of minorities and ethnic groups must be addressed urgently.

scholarly journals Critical Commentary: Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs

2019 ◽  
Author(s):  
Dana Thomson ◽  
Monika Kuffer ◽  
Gianluca Boo ◽  
Beatrice Hati ◽  
Tais Grippa ◽  
...  
Keyword(s):  
Urban Areas ◽  
Informal Settlement ◽  
Social Characteristics ◽  
Multiple Sources ◽  
Neighborhood Deprivation ◽  
Household Level ◽  
The People ◽  
Critical Commentary ◽  
Deprived Neighborhoods

Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human interpretation and machine classification of satellite, aerial, or drone imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.

scholarly journals An Evaluation of the Level of Household’s Participation in Environmental Sanitation in Ado Ekiti

2021 ◽  
pp. 34-44
Author(s):  
O. O. Omotoso ◽  
O. O. Ojo ◽  
A. A. Shittu
Keyword(s):  
Descriptive Analysis ◽  
Behavioural Change ◽  
Civic Responsibility ◽  
Analysis Method ◽  
Environmental Sanitation ◽  
Household Level ◽  
Frequency Table ◽  
The People ◽  
Household Members ◽  
Household Heads

The paper assessed the level of household’s participation in environmental sanitation in Ado Ekiti. A total of 320 copies of questionnaire were administered altogether. The copies of questionnaire were administered to the household heads in each houses selected in each wards. Data analysis was done with descriptive analysis method with the use of frequency table and percentage table. Findings further revealed that there is low turn up for environmental sanitation in the study area; it also indicated that there is moderate or average level of household members’ participation in environmental sanitation in the study area. In the same manner, findings further revealed that there are several cases of health problems and challenges related to poor involvement of the people in environmental sanitation most especially at the household level. In the same manner, there is a day set aside for environmental sanitation in the study area, however, despite this, there is low level of efficiency of environmental sanitation as supported by majority of the respondents. It is recommended that improvement of the standards of environmental sanitation should not be taken with levity hands by all tiers of government, as they should develop policies that would be geared towards improving people’s participation in household environmental sanitation in the study area and other parts of the country. Furthermore, environmental sanitation should not be only seen based on the periodic promulgation as stipulated by the law but should be seen by all citizens as a civic responsibility that needs to be done by all, there should also be the development of programmes geared towards the promotion of people’s behavioural change that would enhance the promotion of people’s participation in household based environmental sanitation.

scholarly journals Predicting the Visual Focus of Attention in Multi-Person Discussion Videos

2019 ◽  
Author(s):  
Chongyang Bai ◽  
Srijan Kumar ◽  
Jure Leskovec ◽  
Miriam Metzger ◽  
Jay F. Nunamaker ◽  
...  
Keyword(s):  
Deception Detection ◽  
Focus Of Attention ◽  
Classification Model ◽  
Collective Classification ◽  
Popular Resistance ◽  
Personal Relation ◽  
Attention Focus ◽  
The People ◽  
Collective Attention ◽  
Speech Transcription

Visual focus of attention in multi-person discussions is a crucial nonverbal indicator in tasks such as inter-personal relation inference, speech transcription, and deception detection. However, predicting the focus of attention remains a challenge because the focus changes rapidly, the discussions are highly dynamic, and the people's behaviors are inter-dependent. Here we propose ICAF (Iterative Collective Attention Focus), a collective classification model to jointly learn the visual focus of attention of all people. Every person is modeled using a separate classifier. ICAF models the people collectively---the predictions of all other people's classifiers are used as inputs to each person's classifier. This explicitly incorporates inter-dependencies between all people's behaviors. We evaluate ICAF on a novel dataset of 5 videos (35 people, 109 minutes, 7604 labels in all) of the popular Resistance game and a widely-studied meeting dataset with supervised prediction. See our demo at https://cs.dartmouth.edu/dsail/demos/icaf. ICAF outperforms the strongest baseline by 1%--5% accuracy in predicting the people's visual focus of attention. Further, we propose a lightly supervised technique to train models in the absence of training labels. We show that light-supervised ICAF performs similar to the supervised ICAF, thus showing its effectiveness and generality to previously unseen videos.

Sign in / Sign up

Export Citation Format

Share Document