[HTML][HTML] Space-time landslide predictive modelling
Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties,
and the environment in many areas. Investigators have for long attempted to estimate …
and the environment in many areas. Investigators have for long attempted to estimate …
[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
[HTML][HTML] Late Quaternary dynamics of Arctic biota from ancient environmental genomics
During the last glacial–interglacial cycle, Arctic biotas experienced substantial climatic
changes, yet the nature, extent and rate of their responses are not fully understood …
changes, yet the nature, extent and rate of their responses are not fully understood …
sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields
Geostatistical data—spatially referenced observations related to some continuous spatial
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …
Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation
Popular frameworks for studying habitat selection include resource‐selection functions
(RSFs) and step‐selection functions (SSFs), estimated using logistic and conditional logistic …
(RSFs) and step‐selection functions (SSFs), estimated using logistic and conditional logistic …
[图书][B] Advanced spatial modeling with stochastic partial differential equations using R and INLA
Modeling spatial and spatio-temporal continuous processes is an important and challenging
problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential …
problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential …
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
Gaussian processes and random fields have a long history, covering multiple approaches to
representing spatial and spatio-temporal dependence structures, such as covariance …
representing spatial and spatio-temporal dependence structures, such as covariance …
[HTML][HTML] Emergent increase in coral thermal tolerance reduces mass bleaching under climate change
Recurrent mass bleaching events threaten the future of coral reefs. To persist under climate
change, corals will need to endure progressively more intense and frequent marine …
change, corals will need to endure progressively more intense and frequent marine …
[HTML][HTML] Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam
Dengue is expanding globally, but how dengue emergence is shaped locally by interactions
between climatic and socio-environmental factors is not well understood. Here, we …
between climatic and socio-environmental factors is not well understood. Here, we …
Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis
H Rakuasa, JK Helwend… - Jurnal Geografi: Media …, 2022 - journal.unnes.ac.id
Bencana banjir terjadi hampir setiap tahun di Kota Ambon dan mengingat besarnya dampak
dan jumlah korban yang dapat ditimbulkan maka pemetaan daerah rawan banjir …
dan jumlah korban yang dapat ditimbulkan maka pemetaan daerah rawan banjir …