This study presents a comparative scientometric analysis of 526 publications from the Web of Science Core Collection and China National Knowledge Infrastructure (CNKI) database to decode the global research trajectory on urban green space (UGS) carbon sinks and to delineate China’s distinctive role. Analysis reveals a clear evolution in research focus and output. Early work...
Recent developments in consumer-grade panoramic cameras led to new possibilities in creating virtual tours, e.g., through museums or real estate. Most current approaches for the creation of these tours are based on manual generation of navigable links between the images. We consider cases where large numbers of georeferenced images are taken by multiple users and introduce an...
Urban expansion in Europe has accelerated over recent decades, significantly blurring the boundaries between urban and rural landscapes and giving rise to extensive peri-urban areas. These dynamic transformations demand timely and effective landscape classifications to track environmental, demographic, and socio-economic developments and for a deeper understanding of human...
Arkansas’ subtropical climate nurtures extensive forested regions, particularly within the Ozark-St. Francis and Ouachita National Forests. Despite this, the state lacks an up-to-date high-resolution map detailing the distribution of tree species within its forests. This study harnesses the power of machine learning, specifically the Random Forest (RF), Gradient Tree Boosting...
This paper presents a user study of Variable Mapper, an interactive web-based geospatial visualization tool that aims to address the gap in multidimensional spatial data analysis. In the era of big data, researchers and policymakers often grapple with complex, multi-faceted concepts situated within ‘wicked problems.’ These problems require the investigation of large numbers of...
As urbanization processes, climate disasters such as heat waves, or pandemics such as COVID-19, increase, prioritizing visible green space is crucial to provide equitable access to green spaces for vulnerable groups with limited mobility. In the long term, this will enable sustainable and resilient urban development. In this study, we examined green window views in residential...
The box-counting method is the predominant technique for calculating fractal dimensions (FD) for raster data. However, past studies focused primarily on measuring the FD of 2D binary raster. While fields like image analysis have advanced with methods such as differential box counting (DBC) to measure the FD of 3D surfaces, this approach has yet to be applied to geographical...
Accessibility to healthcare is one of the significant components of social determinants of public healthcare and is integral to societies’ overall well-being and economic prosperity. This study intends to assess changes in spatial distributions and accessibility of healthcare services within Qatar for 2010–2020, specifically concerning preparation for the 2022 FIFA World Cup...
Edible wild mushrooms constitute a valuable marketable non-wood forest product with high relevance worldwide. There is growing interest in developing tools for estimation of mushroom yields and to evaluate the effects that global change may have on them. Remote sensing is a powerful technology for characterization of forest structure and condition, both essential factors in...
Thematic maps allow for the visual analysis of spatial data. When comparing two map states, preserving the mental map of a user facilitates the comparison. One way to achieve this is to use animated transitions between the states. This work presents an algorithm for computing such animations, called morphs, between schematized map objects, a technique particularly pertinent in...
A rapidly changing Arctic has impacted biophysical and human systems while creating new economic opportunities. Spatially identifying locations with development potential in this changing environment requires characterizing convergences in critical enabling/constraining factors occurring in a particular place. However, mapping techniques based on simple overlays of spatially...
Mapping land cover (LC) in mountainous regions, such as the Gilgit-Baltistan (GB) area of Pakistan, presents significant challenges due to complex terrain, limited data availability, and accessibility constraints. This study addresses these challenges by developing a robust, data-driven approach to classify LC using high-resolution Sentinel-2 (S-2) satellite imagery from 2019...
In recent years, the integration of deep learning technology based on convolutional neural networks with historical maps has made it possible to automatically extract roads from these maps, which is highly important for studying the evolution of transportation networks. However, the similarity between roads and other features (such as contours, water systems, and administrative...
Artificial intelligence (AI) has increasingly been integrated into various domains, significantly impacting geospatial applications. Machine learning (ML) and computer vision (CV) are critical in urban decision-making. However, urban AI implementation faces unique challenges. Academic literature on responsible AI largely focuses on general principles, with limited emphasis on the...
Farmland abandonment significantly influences food and ecological security. To provide a comprehensive understanding of the current research landscape and evolving developments in the field of farmland abandonment, we have summarized the advancements and future trends in this research domain. This review employed CiteSpace software and incorporated geographic visualization...
Mangroves, integral to ecological balance and socioeconomic well-being, are facing a concerning decline worldwide. Remote sensing is essential for monitoring their evolution, yet its effectiveness is hindered in developing countries by economic and technical constraints. In addressing this issue, this paper introduces MANGLEE (Mangrove Mapping and Monitoring Tool in Google Earth...
In this study, we investigated the accuracy of surface models and orthophoto mosaics generated from images acquired using different data acquisition methods at different processing levels in two urban study areas with different characteristics. Experimental investigations employed single- and double-grid flight directions with nadir and tilted (60°) camera angles, alongside the...
The first law of geography is one of the most important concepts in geographical analysis, revealing the significant role of spatial proximity. At present, some current international relation studies or geographic network analysis studies tend to build corresponding network models according to different themes, but the most basic level of geographic neighborhoods is intentionally...
Automated map generalization has been a major area of research for decades but has still not reached maturity. Besides the needs for more adaptive algorithms, a fundamental question remains: How can we transfer human generalization knowledge into a computational system more effectively? Previous efforts do not seem capable to fully overcome the “knowledge acquisition bottleneck...
Monitoring crop growth, soil conditions, and hydrological dynamics are imperative for sustainable agriculture and reduced environmental impacts. This interdisciplinary study integrates remote sensing, digital soil mapping, and hydrological data to elucidate intricate connections between these factors in the state of Ohio, USA. Advanced spatiotemporal analysis techniques were...
Ensuring that people from all regions in a country can easily access railway stations is a crucial objective in the development of transportation and mobility systems and is essential for the convenient travel within the country. Furthermore, accurately assessing accessibility in disadvantaged areas is pivotal in designing and implementing development policies for equitable and...
This study investigated the impact of graphical user interface (GUI) design on the efficiency and effectiveness of map-based tasks on mobile devices, using time-based weather data as a case study. Three different GUI designs (button-type, circle-type, and slidebar) were tested in a between-subjects design, with 50 participants completing a set of map-based tasks on each GUI...