Publications

Recognizing the activities being performed on a map is crucial for adaptive map design based on user context. Despite eye tracking (ET) demonstrating potential in recognizing map activities and electroencephalography (EEG) measuring map users' cognitive load, no studies have yet combined ET and EEG for recognition of the user's activity on maps. Our study collected participants' ET and EEG data during four types of map activities. After feature ...

Cartographic maps are ubiquitous in spatial activities such as localization, navigation, and travel exploration. Understanding how the map users interact with maps remains a challenge, however. Research to date has focused on the overt aspects of map users' cognitive processes, using conventional empirical methods and eye tracking, but the covert aspects (e.g., brain activity) have been largely neglected. In this study, participants used Google ...

This study explores the integration of human decision-making and computational optimization in emergency response system deployment (ERSD), using a novel interactive game-based approach. Players of the interactive game place configurations of ambulance stations (AS) on a map, attempting to maximize ambulance coverage within the area of the map. We analyze these configurations, contrasting them with an optimized computer-generated configuration. ...

The cultural and social benefits of green open spaces (GOSs) are frequently disregarded in environmental planning and policy. The online PPGIS tool, mygreenplace.be, was used to map the cultural ecosystem services (CES) in the GOSs along the Woluwe River. This research aims to clarify the role of CES, spatial qualities and travel distance in GOSs' valuation and their respective environmental planning and management. The analysis revealed that ...

The inversion of Cu contents in rocks based on hyperspectral remote sensing is indicative of geochemical exploration as well as mineral resource exploration. Due to the strong redundancy of band information in hyperspectral data, characteristic band selection is the key to improving the accuracy of metal element inversion models in hyperspectral data. In this study, we proposed a framework that innovatively focuses on secondary screening method ...

The dynamics of Gross Primary Productivity (GPP) is key to understand the global carbon cycle. Multiple GPP products are currently available based on remote sensing, Light Use Efficiency model (LUE) or diagnostic biophysical model. However, little knowledge is available on the spatial patterns of the uncertainty of different GPP products and their potential drivers over the Central Asia (CA), a fragile environment for accurate GPP estimation. ...

Herbarium specimens form a physical database of plant biodiversity. They are frequently used to study species diversity in different geographic regions or their evolution over time. These specimens have been digitized in bulk and made accessible to the public over the past few decades. These digitization efforts open up new research opportunities for automated processing and analysis. However, few publicly available labeled datasets for ...

Worldwide, an increasing number of marine islands suffer from various pressures on the environment, driven by climate change and increasing land demands. The Galapagos Archipelago is one of the most iconic group of islands, yet population growth and tourism have resulted in a rising need for efficient environmental monitoring of its fragile ecosystems, such as the intertidal zone which harbors diverse and unique fauna. The purpose of this study ...

Public space design processes are complex. Numerous preconditions and the involvement of stakeholders impede rapid decision making. Two-dimensional drawings remain the norm, although these are difficult for citizen stakeholders to understand. Public space designers rarely use 3D city models, infrastructure building information modeling, digital twins, or extended reality. Usually, 3D images (without animation) are only rendered after decision ...