Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 2
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

Schwartz created a circle of values reflecting people’s individual systems of goals and motivations. These values can be grouped into different dimensions: self-protection versus self-growth and concentration on others versus concentration on self. In the present study, we analysed how these dimensions are related to hedonic and eudaimonic well-being; N=747 participants, representative of the general Polish population, completed the Portraits Value Questionnaire, Satisfaction with Life Scale and Questionnaire for Eudaimonic Well-being (online study). A series of models were tested using structural equation modelling. We found that concern for self and self-protection values were related to higher hedonic well-being, whereas concern for others and growth values were related to its lower levels. However, growth and concern for others were positively linked to eudaimonic well-being, but they may also positively and indirectly impact hedonic well-being (suppression effect). These results suggest that some values are associated with a feeling of self-realisation at the cost of current hedonic well-being.

Go to article

Authors and Affiliations

Agnieszka Bojanowska
Agnieszka Czerw
Download PDF Download RIS Download Bibtex

Abstract

Recently, Google Earth Engine (GEE) provides a new way to effectively classify land cover utilizing available in-built classifiers. However, there have a few studies on the applications of the GEE so far. Therefore, the goal of this study is to explore the capacity of the GEE platform in terms of land cover classification in Dien Bien Province of Vietnam. Land cover classification in the year of 2003 and 2010 were performed using multiple-temporal Landsat images. Two algorithms – GMO Max Entropy and Classification and Regression Tree (CART) integrated into the Google Earth Engine (GEE) plat-form – were applied for this classification. The results indicated that the CART algorithm performed better in terms of mapping land use. The overall accuracy of this algorithm in the year of 2003 and 2010 were 80.0% and 81.6%, respective-ly. Significant changes between 2003 and 2010 were found as an increase in barren land and a reduction in forest land. This is likely due to the slash-and-burn agricultural practice of ethnic minorities in the province. Barren land seems to occur more at locations near water sources, reflecting the local people’s unsuitable farming practice. This study may provide use-ful information in land cover change in Dien Bien Province, as well as analysis mechanisms of this change, supporting en-vironmental and natural resource management for the local authorities.

Go to article

Authors and Affiliations

Luong B. Nguyen

This page uses 'cookies'. Learn more