Drought risk assessment: integrating meteorological, hydrological, agricultural and socio-economic factors using ensemble models and geospatial techniques

2021 ◽  
pp. 1-29
Author(s):  
Alireza Arabameri ◽  
Subodh Chandra Pal ◽  
M. Santosh ◽  
Rabin Chakrabortty ◽  
Paramita Roy ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Drought Risk ◽  
Economic Factors ◽  
Geospatial Techniques ◽  
Ensemble Models ◽  
Socio Economic Factors

scholarly journals Fire risk assessment in light of socio-economic factors

2017 ◽  
Vol 166 (7-8) ◽  
pp. 37-40
Author(s):  
Nataliya Kyrylaha ◽  
◽  
Varvara Chernenko ◽  
Keyword(s):  
Risk Assessment ◽  
Fire Risk ◽  
Economic Factors ◽  
Fire Risk Assessment ◽  
Socio Economic Factors

How Much of Electoral Politics Is in the District? Measuring District Effects on Party Support

2021 ◽  
pp. 1-21
Author(s):  
Marc André Bodet ◽  
Joanie Bouchard ◽  
Melanee Thomas ◽  
Charles Tessier
Keyword(s):  
Electoral Systems ◽  
Cost Effective ◽  
Electoral Politics ◽  
Individual Factors ◽  
Economic Factors ◽  
Geospatial Techniques ◽  
Using Data ◽  
Party Support ◽  
Party Vote Shares ◽  
Socio Economic Factors

Abstract The electoral district is the fundamental unit of representation in single- and multi-member electoral systems, yet most research shows little interest in district effects on election outcomes, focusing instead on national and individual factors. This is problematic as parties and candidates often put a great deal of effort into district-based campaigns. How, then, can we best capture district effects on party support? We propose a new method using official election returns and geospatial techniques. The result is a measure of how much of a party's vote share is explained by district effects. Using data from the 2006–2019 Canadian federal elections, we find that, on average, 6 to 10 per cent of the variation in a party's vote in Canada is explained by district effects. While district effects on party support are trivial for some districts, in others they account for more than 80 per cent of the variance in party vote shares. The effect of districts on party support is composed, in part, of electoral context, province, socio-economic factors and district campaign intensity. Importantly, the size and sources of district effects on party support vary across parties, suggesting heterogeneity. The benefits of our approach are threefold: (1) it is cost-effective, (2) it can be easily replicated in any setting—past or present—where districts are relevant electoral units and where districting is nonpartisan, and (3) it is responsive to differences in district composition and parties’ campaign effort.

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.

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