An R package to perform spatial analysis on networks.
An R package for kernel density estimation with parametric starts and asymmetric kernels.
Predicting Bike Rental Demand using Linear and Non-linear Regression Models
Assessment of individual specialization in the use of space by animals
Time-scaled haplotypic density (THD) implementation for R. Estimates epidemic success from pathogen genetic data.
Sub-package of spatstat containing code for linear networks
Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.
Kernel Density Estimation (KDE) with data-driven bandwidth selection
Environmental Interpolation using Spatial Kernel Density Estimation
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Seal foraging areas identified by analysing the dive data obtained from telemetry tracking. Select the likely foraging dives using a vertical approach (Planque et al. 2020), and spatialise them with Kernel densities.
(2018.01.05~2018.01.27) 2017년 서울시 빅데이터 캠퍼스 상시공모전(우수상) | 주제 : 서울시 자전거사고 밀집구역 원인분석 및 개선방안
This repository contains Materials for Non-Parametric Inference
Code, data, and results for Richmond et al. Individual herbivores manage risk differently: Stoichiometric distribution models with snowshoe hares. Manuscript published at Journal of Mammalogy.
An analysis of Denver Crime for 2010-2021 using data available from Denver Open Data.
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