In cities, carbon emissions associated with commuting transport is large and significant. This study integrates data about the jobs-housing relationship, road network configurations, public transport availability, and real-time traffic conditions during peak hours to evaluate the commuting feasibility and performance of green travel modes (walking, cycling and public transport) and explore the potential

AimHabitat loss is the dominant cause of biodiversity decline around the world, yet the complexity and stability of terrestrial assemblages related to suitable habitats have been almost unknown on a global scale.LocationGlobal.Time PeriodContemporary.Major Taxa StudiedMammalia, Aves, Reptilia, Amphibia.MethodsWe constructed gridded maps of species–habitat networks of terrestrial vertebrates based on

AimTermites are a crucial group of macroinvertebrates regulating rates of deadwood decomposition across tropical and subtropical regions. When examining global patterns of deadwood decay, termites are treated as a homogenous group. There exist key biogeographical differences in termite distribution. One such clear distinction is the distribution of fungus‐growing termites (FGT, subfamily Macrotermitinae)

AimSpecies distribution models (SDMs) are powerful tools for assessing suitable habitats across large areas and at fine spatial resolution. Yet, the usefulness of SDMs for mapping species' realised distributions is often limited since data biases or missing information on dispersal barriers or biotic interactions hinder them from accurately delineating species' range limits. One way to overcome this

AimTo describe worldwide distribution of mammalian cradles and museums using the rates of phylogenetic lineage turnover as a surrogate. Additionally, we investigated the influences of current water–energy dynamics, climate instability, past climate changes and elevational ranges on the distribution of these evolutionary zones.LocationGlobal.Time PeriodCurrent.Major Taxa StudiedTerrestrial mammals.MethodsWe

Submersed aquatic plant (SAP) communities are important determinants of estuarine and lacustrine food web structure, nutrient cycling, and water quality. Variation in water quality, SAP community c...

Urban transportation and planning are at a pivotal juncture, requiring a nuanced understanding of the built environment's impact on dockless bike sharing (DBS) to metro transfer trips. Existing methodologies, often focused on DBS trips around metro stations or limited by scant datasets, overlook the pressing need for a method to discern large-scale DBS-metro trips as DBS becomes a standard feeder mode

AimAs global climate changes, there is a clear mismatch between the temporal and spatial characteristics of body temperature and environmental temperature, confounding the assessment of thermal stress for organisms in many ecological studies. Here, we hindcast the hourly body temperatures of intertidal molluscs to explore the differences between them and environmental temperatures (air and water temperatures)

With the global rise of bike-sharing programs (BSP), planners and traffic experts have raised concerns as to whether the rapid growth of BSP ensures cycling safety. Despite numerous studies on built environments encouraging bike usage, there is limited knowledge whether streetscape environments around BSP stations affect bicycle accidents. We address this gap by investigating the relationships between

High-speed railway (HSR) stations play an important role in shaping the development/redevelopment of the surrounding areas. While different studies have been conducted to explore station area development, they tend to simplify the conceptualisation of station area development and lack a comprehensive perspective that captures how different variables at multiple levels are interacted with station area

Proximity of transit-oriented development (TOD) goals to polycentric urban development in the field of controlling negative effects of urban sprawl reinforces polycentricity and TOD-ness spatial synergy. Furthermore, identification of transit-oriented neighborhoods that have high potential to become secondary employment centers (ECs) is one of the most important challenges facing urban transport planners

The North Pacific Ocean plays a pivotal role as a carbon sink within the global carbon cycle. However, a comprehensive understanding of the spatiotemporal dynamics of carbon dioxide concentration and its determinants in this domain remains elusive due to its vast dimensions and the intricacies of influencing factors, with previous research on carbon dioxide partial pressure in the North Pacific Ocean

Intensifying hydroclimatic changes in North Africa are causing unprecedented floods, droughts, and land degradation patterns that are increasingly associated with human casualties, socioeconomic instabilities, and outflow migrations. These patterns’ and their future forecasts remain largely unquantified, aggravating the impacts on several populous areas. To address this deficiency, we employ pixel-based

High spatial resolution XCO data is key to investigating the mechanisms of carbon sources and sinks. However, current carbon satellites have a narrow swath and uneven observation points, making it difficult to obtain seamless and full-coverage data. We propose a novel method combining extreme gradient boosting (XGBoost) with particle swarm optimization (PSO) to construct the relationship between OCO-2

MotivationTerrestrial predators play key roles in cycling nutrients, as well as limiting prey populations, and shaping the behaviour of their prey. Prehistoric, historic and ongoing declines of the world's predators have reshaped terrestrial ecosystems and are a topic of conservation concern. However, the availability of ecologically relevant predator functional traits is limited, hampering efforts

Shipping companies are key drivers of maritime trade and crucial in the development of container shipping networks. Each company's strategy shapes differences in port services and shipping routes, creating a complex and interconnected global container shipping network that is difficult to analyze using single-layer or aggregated models. This paper introduces a novel multiplex network modeling approach

The North Korean economy is experiencing a deepening economic and political crisis since the early 1990s. Although North Korea is not commonly seen as a shipping nation, its major cities are coastal, and it hosts nine international trading ports. However, little is known about the role of maritime transport in its development. This article uses vessel movement data to reconstitute the maritime network

In recent years, museums have been acknowledged as powerful geopolitical sites. In this article, we explore the military museums of southern Arizona, primarily the Pima Air and Space Museum in Tucs...

The low-carbon city pilot (LCCP) policy constitutes a crucial element in China’s endeavors to attain its carbon peak target. Thoroughly analyzing the carbon abatement effects and mechanisms of the ...

Networks represent connections between people, things, ideas, and events in physical, digital, or hybrid spaces. The topic has long piqued geographers’ curiosity in regard to enduring fundamental q...

This article sets the development of urban cultural scenes in Palestine within a global frame of uneven development. It draws on field work in Haifa (in the 1948 Palestinian territories) and Ramall...

Extracting buildings from True Digital Ortho Maps often encounters occlusions and misidentifications, making it challenging to obtain complete, regular, and accurate building contours. To address this issue, we developed a building recognition process based on the Segment Anything Model, and proposed a novel regularization algorithm for building contour inference and fitting, which quantifies the confidence

Geo-text data, which combine geographical locations with textual information (e.g., geo-tagged tweets), are typically visualized using tag maps. Since tags are rich in attribute information, tag maps are an intuitive method of visualizing how attribute domains carried by tags vary across space. However, users may be interested not only in the overall spatial distribution of tags but also in exploring

Reservoir landslides in the Three Gorges Reservoir, China, exhibit prolonged slow motion and the potential for catastrophic events due to fluctuations in reservoir levels and intense rainfall episodes. Their distinct step-like deformation characteristics, involving rapid transformation processes of different states, pose challenges for accurate early warning and prediction. Previous forecasting models

Cyclone Global Navigation Satellite System (CyGNSS) data are widely recognized for their sensitivity to inland water bodies. However, the detection of water bodies using single CyGNSS data is subject to uncertainties, presenting challenges for large-scale and accurate water system detection. In this study, we employ CyGNSS data for regression estimation to map inland water bodies. In comparison to

Urban public open spaces (POS) are pivotal in sustainable urban planning, recognized for their positive impacts on the health of residents and environments. However, understanding their physical features in detail via remote sensing remains challenging due to the small and complex area characteristics. Advanced approaches struggle with the requirement for extensive training datasets, which are difficult

Taxis have provided on-demand mobility for decades, including to people earning the lowest incomes. However, studies reveal gaps in taxi service across many US cities due to factors such as fleet size limitations, information asymmetry, and discriminatory practices. Since 2010, the emergence of ride-hail services such as Uber and Lyft has revolutionized the transportation landscape, offering faster

Downward Surface Shortwave Radiation (DSSR) plays a crucial role in ecological, hydrological, and solar photovoltaic studies. The estimation of DSSR at higher spatial resolutions is increasingly popular. However, the impact of increasing spatial resolution on spatial information content and accuracy of DSSR estimates is not well understood. Addressing this knowledge gap, an all-sky DSSR dataset at

Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of...

Forest canopy height (FCH) is one of the most important variables for carbon stock estimation. While many studies have focused on extracting FCH from spaceborne LiDAR in regions with spatially cont...

Understanding the role of street network configuration on commuter cycling can aid city planners in assessing and evaluating interventions to promote regular cycling into people's routines. Studies examining this relationship generally build models on observed cycling counts. While this provides valuable information, it could still result in an incomplete picture because some routes with advantages

The resolution of ambiguity (AR) is of paramount importance for the precise point positioning (PPP) technique, as it enables the reduction of convergence duration and the improvement of positioning accuracy. Uncalibrated phase delay (UPD) is a key factor in ambiguity fixation. We investigate the difference between different scale UPD estimates which are obtained from MGEX and YNCORS stations in PPP-AR

Managing total suspended solids (TSS) in inland water is crucial for maintaining water quality and aquatic ecosystems. To obtain spatial data, the conventional method of point sampling TSS is a tim...

The port governance literature has charted the trend towards devolution of port services to the private sector, also showing how the increasing influence of external private actors such as shipping lines and global terminal operators affects decisions on expansion and service provision, producing a more multifaceted and polycentric kind of port governance. In this paper we extend these notions to cover

Although several health benefits are associated with cycling, this mode of active transport remains underrepresented. Studies have shown that individuals' preferred mode of transport is influenced by the environment in which they travel. While macro-environmental factors shape active transport, micro-environmental aspects offer adaptable solutions. In this paper, we used novel and promising Virtual

In urban economics, transportation costs are a key determinant of land value. However, in virtual worlds, these costs are generally limited by the users’ ability to teleport. Drawing from urban and attention economic literature, we propose a theoretical model microfounded on user behavior. The model suggests that the relative value of land parcels hinges on their potential to attract visitors. Our

This article studies the effect of return initiatives in rural regions of Germany on interregional return migration. The initiatives aim to increase return migration by, amongst other things, providing information on local employment opportunities and personal support to workers interested in returning to find a job in the former rural region of residence. Analysing administrative data on individual

In this study, hyperspectral data of two geographically distant study areas in Germany were analyzed to find the most effective spectral wavelengths for red-edge-based vegetation indices to differentiate bark beetle-infested Norway spruce into three infestation classes, including green-attack. Considering that the relationship between red-edge position (REP) and reflection shoulder position (RESP)

To determine the degree to which assemblages of planktonic foraminifera track thermal conditions.

The analysis of association rules within ecosystems is crucial for monitoring, managing, and conserving natural resources. As widely adopted approaches for this task, geospatial methods involving spatial co-location pattern mining can reveal distribution rules and inherent associations among diverse geographical elements. Rooted in Tobler’s first law of geography, these methods focus on the impact

Global warming has shown an “Arctic amplification effect” in recent decades, leading to pronounced changes in pan-Arctic soil surface temperature (SST). SST plays a direct role in energy exchange between soil and atmosphere and serves as an indicator of the land–atmosphere energy balance. Remote sensing land surface temperature (LST) data is able to indicate near-surface temperature, but influences

Amid the escalating conflicts between urban demography, resource availability, and environmental constraints, there is an accelerating demand for emergency medical services prompted by a spectrum of factors including diseases, natural calamities, and unforeseen events. This growth is further accentuated by an imbalance in the allocation of emergency facilities, amplifying public anxiety and underscoring

Synthetic aperture radar (SAR) 3D point clouds reconstruction can eliminate the problems of layover in 2D SAR image projections, the recognition of the reconstructed point cloud can significantly enhance target identification and information extraction. Current SAR 3D point cloud segmentation methods, based on traditional machine learning clustering approaches, suffer from poor automation and accuracy

Throughout the years, the European Commission has allocated significant financial resources to road infrastructure construction, based on the belief that it would boost, socioeconomic development. However, literature evidence shows it is not consensual whether those investment policies will yield the expected outcomes. The main goal of this work is to shed light on where, and to what extent, accessibility

In numerous contemporary megacities and their peripheries, subways play an indispensable role within the public transportation system. These cities have established transit networks that revolve around each subway station by means of bus connections. To ensure the subway system's effectiveness, it is imperative for passengers to transfer seamlessly from buses without significant delays.

Researching environmental conflicts can be a challenging ethnographic endeavor, especially when their causes are influenced (in)directly by illicit stakeholders and activities. In this article we e...

Land subsidence is recognized as one of the hazards that threaten Metro Manila, Philippines, and other major urban areas worldwide. It has become a significant global issue caused by excessive groundwater extraction, rapid urbanization, and natural sediment compaction, exacerbated by climate change through rising sea levels. This paper presents vertical ground motion rates in Philippine metropolitan

The automatic extraction of inspection points for pylons is essential for intelligent Unmanned Aerial Vehicle (UAV) power inspections, especially in generating inspection route. However, current researches primarily focus on power scene perception and power component fault detection, with little attention paid to the inspection point detection. The primary reason are the lack of public pylon datasets

AimThe relative importance of traits and phylogeny to predict species extinction risk is unclear and it depends on which traits are measured and their phylogenetic conservatism. Here, we evaluate the power of functional traits, ecological characteristics, such as range size and specialization, and phylogeny to predict climatic risks in European butterflies.LocationEurope.Time PeriodDistribution data

Policymakers have adopted built environment policies to modify people's travel behavior and the related emissions. However, few studies have examined the interactive impact between income level and built environment attributes on travel-related carbon emissions (TCE), and only several studies consider their nonlinear relationships. With data from the Twin Cities, US, this study estimated the nonlinear

As an important part of the geological environment assessment in recent years, mine interpretation has attracted broad attention in the area of sustainable development. As an object that can be captured by remote sensing of multispectral imageries, the open-pit (OP) mine environment has the characteristics of irregular distribution, diverse shapes, and varied textures and colors, which makes interpretation

Visual Simultaneous Localization and Mapping (V-SLAM) is pivotal for precise positioning and mapping. However, visual data from crowd-sourced datasets often contains deficiencies that may lead to positioning errors. Despite existing optimization techniques, current algorithms do not adequately adapt to varied data in vehicle driving scenarios. To address this gap, this study introduces a novel SLAM

Supervoxels provide a more natural and compact 3D point cloud representation, which is a fundamental problem in point cloud processing and has attracted extensive attention from many scholars. At present, although the supervoxel segmentation has achieved significant results, the processing efficiency still restricts its further processing in the face of large-scale point cloud processing. Therefore

Multispectral remote sensing image-based sea fog detection (SFD) is both important and challenging. Deep learning methods for SFD have become mainstream due to their powerful nonlinear learning capabilities and flexibility. However, existing methods have not fully utilized the physical difference priors in multispectral images (MSI) for SFD, making it difficult to skillfully capture the shape and appearance

Building models are important for urban studies. Remote sensing multi-spectral (MS) images are widely used for its rich semantic information. The lack of geometry features is fulfilled by introducing photogrammetry derived digital surface models (DSMs), resulting in pairs of DSMs and MS images. Utilizing such pairs and a convolutional neural network, level of detail (LoD) 2.2 building models, which

AimHeterogeneity of the Earth's abiotic surface and subsurface (geodiversity) is increasingly recognised as an important driver of biodiversity. Theoretically, species' traits should match to abiotic conditions in the local environment. Here, we test this for the first time at a continental extent by analysing the relationships between geodiversity and plant trait diversity in forested vegetation plots

AimThe Kunming‐Montreal Global Biodiversity Framework requires that evolutionary histories of species should be considered in conservation planning. The phylogenetic structure of species assemblages quantifies species evolutionary histories and increasingly becomes an endeavour for ecologists. Understanding the geographic patterns of phylogenetic structure of species assemblages and their drivers can

This research addresses the interplay between spatial factors and consumers' on-demand food delivery (ODFD) usage with special attention to three aspects: (1) the contextualization of spatial food environments, whereby different spatial measurements (food accessibility vs. food presence) and zone definitions are compared to select the appropriate variables. Also, the study is not confined to dining

Existing regionalization methods have largely overlooked the temporal dimension, leading to outcomes that predominantly reflect spatial differentiation of regional variables only at a singular temp...