Rectangular and hexagonal grids used for observation, experiment and simulation in ecology

CPD Birch, SP Oom, JA Beecham - Ecological modelling, 2007 - Elsevier
Regular grids or lattices are frequently used to study ecosystems, for observations,
experiments and simulations. The regular rectangular or square grid is used more often than …

Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services

J Ke, H Yang, H Zheng, X Chen, Y Jia… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Ride-sourcing services are becoming an increasingly popular transportation mode in cities
all over the world. With real-time information from both drivers and passengers, the ride …

[HTML][HTML] Supporting the planning of urban blue-green infrastructure for biodiversity: A multi-scale prioritisation framework

F Molné, GFA Donati, J Bolliger, M Fischer… - Journal of …, 2023 - Elsevier
Primary considerations for urban blue-green infrastructure (BGI) encompass sustainable
stormwater/urban heat management while biodiversity conservation is often considered an …

Anaemia in ruminants caused by plant consumption

H Ruiz, D Lacasta, JJ Ramos, H Quintas… - Animals, 2022 - mdpi.com
Simple Summary Plant poisoning is an underdiagnosed condition affecting livestock, and is
especially important in ruminants. It is necessary for the veterinary practitioner to consider …

Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element

K Cegielska, A Kukulska-Kozieł, T Salata… - Journal of Spatial …, 2019 - Taylor & Francis
Spatial concentration and quantitative spatial density of anthropogenic elements were
assessed. The authors used original parameters of standing and progressive anthropogenic …

[HTML][HTML] Urban green resilience: Experience from post-industrial cities in Poland

T Starczewski, K Rogatka, A Kukulska-Kozieł… - Geoscience …, 2023 - Elsevier
De-industrialisation triggered economic, spatial and environmental changes in cities.
Therefore, this study identifies whether there has been a reorientation of spatial …

H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty

Z Chen, K Liu, J Wang, T Yamamoto - Transportation Research Part C …, 2022 - Elsevier
The problem of learning from imbalanced ride-hailing demand data with spatiotemporal
heterogeneity and highly skewed demand distributions is a relatively new challenge …

Urban green spaces management during the COVID‐19 pandemic: Experiences from Kraków, Poland

J Gorzelany, T Noszczyk… - Land Degradation & …, 2023 - Wiley Online Library
Abstract SARS‐CoV‐2 (COVID‐19) has spread all over the world, significantly affecting our
everyday lives. People changed their habits during the pandemic and made use of urban …

Seasonal vegetation changes in mountain pastures due to simulated effects of cattle grazing

F Kohler, F Gillet, JM Gobat… - Journal of Vegetation …, 2004 - Wiley Online Library
Cattle influence grassland dynamics in three ways: herbage removal, dung deposition and
trampling. The objective of this study was to assess the effects of these factors, separately or …

Exploring the impact of spatiotemporal granularity on the demand prediction of dynamic ride-hailing

K Liu, Z Chen, T Yamamoto… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dynamic demand prediction is a key issue in ride-hailing dispatching. Many methods have
been developed to improve the demand prediction accuracy of an increase in demand …