Abstract

In recent decades, a significant challenge in geographical analysis was the limited availability of spatial data. Today, the widespread use of electronic devices with geo-referenced information has led to a surplus of spatial data. Activities like Volunteered Geographic Information, public initiatives (such as Open Data, Spatial Data Infrastructures, and Geo-portals), platforms like Google Earth, and social networks, have contributed to this abundance. However, this surplus often doesn't enhance decision-making efficiency. The increase in spatial data availability hasn't been matched with a corresponding increase in knowledge to support spatial decisions. Geo-computational methods are pivotal in shaping informed decisions and constructing realistic future scenarios.

The need for a sustainable future and ecological transition significantly amplified the economic investments. To improve the quality of investments in the environmental field, it is fundamental to adopt analytical methods to support the construction of sustainable scenarios.

This presentation will analyze various techniques and methods to enhance knowledge acquisition. It will examine innovative approaches that emerged in recent years, empowering the broadening of understanding and expertise across environmental domains. Specifically, the focus will be on modeling the impact of these investments on the environment. The relationship between knowledge enhancement strategies and environmental sustainability will be explored, highlighting how conscious and strategic knowledge acquisition can be pivotal in shaping a greener and more sustainable future for our planet.