SPATIAL MONITORING RESULTS VISUALISATION FOR SUSTAINABLE CONSUMPTION ACTIVITIES

KEHAYOVA-STOYCHEVA Maria, University of Economics Varna

VASILEV Julian, University of Economics Varna

Abstract:
The purpose of this paper is to present a methodology for visualizing spatial data on the results of monitoring sustainable household activities. The research covers the creation of a methodology for using a GIS-based approach in the visualization of spatial data on indicators on sustainable consumption. Current research activities on sustainable urban consumption and the methods for presenting aggregated results reveal the novelties in this paper. Testing the proposed methodology for using a GIS-based approach in the visualization of spatial data on indicators of sustainable consumption results in the adaptation of the new technology in other countries, cities, teams focused on the analysis and visualization of spatial data on certain indexes. Moreover, the proposed approach opens two dimensions: (1) the possibility of visualization of cross-sectional spatial data on sustainable consumption and (2) the possibility of visualization of time series spatial data on sustainable consumption. The results of the study showed that other researchers and municipality specialists on sustainable urban consumption may use the proposed methodology for presenting (visualizing) spatial data. They may be cross-sectional or time-series spatial data. This visualization is an opening point for the decision-making process in finding solutions to some problems with ecology, recycling and taking specific measures to promote and stimulate sustainable consumption. Moreover, measures for preventing bad practices in contrast with sustainable consumption may be taken. The suggested method introduces the potential to visualize cross-sectional spatial data related to sustainable consumption and the opportunity to visualize time series spatial data on sustainable consumer activities. The study findings indicate that other researchers and consumption sustainability experts can employ this proposed approach to present spatial data effectively.

Keywords: cross-sectional spatial data, time-series spatial data, GIS-based visualization, sustainable consumer activities, Varna households

JEL Classification: C02, C81, C88, Q56

Volume: 76, Issue: 3

Pages: 92 - 101

Publication date: September, 2024

DOI: 10.56043/reveco-2024-0028

Download the article: http://economice.ulbsibiu.ro/revista.economica/archive/76308kehavova-stoycheva&vasilev.pdf

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