Results 11 to 20 of about 12,938 (234)

Spatial–temporal variations in deforestation hotspots in Sumatra and Kalimantan from 2001–2018 [PDF]

open access: yesEcology and Evolution, 2021
AbstractTropical deforestation varies temporally and spatially which can inhibit the ability of existing protected areas to stem forest loss. Identifying the spatial–temporal distribution of deforestation and its concentration can help decision makers decide conservation priorities and leverage limited resources. This study assessed how topographic and
Minerva Singh, Siheng Yan
openaire   +3 more sources

Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots [PDF]

open access: yesSustainability, 2016
Understanding human mobility patterns provides us with knowledge about human mobility in an urban context, which plays a critical role in urban planning, traffic management and the spread of disease. Recently, the availability of large-scale human-sensing datasets enables us to analyze human mobility patterns and the relationships between humans and ...
Xiping Yang, Zhiyuan Zhao, Shiwei Lu
openaire   +1 more source

Crime Mapping in GIS By Using Hotspot

open access: yesSukkur IBA Journal of Computing and Mathematical Sciences, 2018
Police forces use hotspot mapping to provide a single out towards to resource allocation, ensuring police officers are post to areas of high crime where their existence will have the most smash.
Syeda Ambreen Zahra
doaj   +5 more sources

Spatial and temporal changes of charosphere hotspots with or without nitrogen additions

open access: yesBiochar, 2023
AbstractThe charosphere is a thin soil one surrounding the biochar with highly active biochemical functions. Yet, little is known about the spatial and temporal distribution of charosphere hotspots. In this study, repacked soil cores were incubated with a central layer of biochar (pristine or acid-modified) with or without nitrogen (N) additions for 30 
Hongyu Ran   +5 more
openaire   +2 more sources

Crime Prediction Based on Crime Types and Using Spatial and Temporal Criminal Hotspots [PDF]

open access: yesInternational Journal of Data Mining & Knowledge Management Process, 2015
ABSTRACT This paper focuses on finding spatial and temporal criminal hotspots. It analyses two different real-world crimes datasets for Denver, CO and Los Angeles, CA and provides a comparison between the two datasets through a statistical analysis supported by several graphs. Then, it clarifies how we conducted Apriori algorithm to produce interesting
Almanie, Tahani   +2 more
openaire   +2 more sources

Rapid remote monitoring reveals spatial and temporal hotspots of carbon loss in Africa’s rainforests [PDF]

open access: yesCommunications Earth & Environment, 2022
AbstractSpatially explicit monitoring of tropical forest aboveground carbon is an important prerequisite for better targeting and assessing forest conservation efforts and more transparent reporting of carbon losses. Here, we combine near-real-time forest disturbance alerts based on all-weather radar data with aboveground carbon stocks to provide ...
Csillik, Ovidiu   +4 more
openaire   +4 more sources

Travel Demand Forecasting Based on 3D Convolution and LSTM Encoder-Decoder [PDF]

open access: yesJisuanji kexue, 2021
Reliable regional travel demand forecasting can provide reasonable and effective suggestions for the scheduling and planning of traffic resources.However,travel forecasting is a very challenging problem,facing massive spatial-temporal big data modeling ...
TENG Jian, TENG Fei, LI Tian-rui
doaj   +1 more source

Epidemiological features and spatial-temporal clustering of visceral leishmaniasis in mainland China from 2019 to 2021

open access: yesFrontiers in Microbiology, 2022
BackgroundVisceral leishmaniasis (VL) is a serious vector-borne disease in central and western China. In recent years, the number of VL cases increased gradually, particularly the mountain-type zoonotic visceral leishmaniasis (MT-ZVL).
Yuanyuan Li   +9 more
doaj   +1 more source

Sensor network prediction based on spatial and temporal GNN [PDF]

open access: yesITM Web of Conferences, 2022
Multi-sensor prediction is a hotspot for research and development in sensor management technologies. Thanks to artificial intelligence, researchers have been able to effectively use neural networks and traditional artificial intelligence approaches to ...
Liu Peng   +3 more
doaj   +1 more source

Spatial and temporal evolution of detritusphere hotspots at different soil moistures

open access: yesSoil Biology and Biochemistry, 2020
Abstract As a result of the heterogeneous spatial distribution of microorganisms and substrates in soil and their restricted accessibility, biodegradation occurs mainly in hotspots, such as in the detritusphere, induced by decomposing plant residues.
Védère, Charlotte   +5 more
openaire   +4 more sources

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