Marlon E. Cobos (marlonecobos)

marlonecobos

Geek Repo

Location:Lawrence, Kansas, USA

Home Page:https://marlonecobos.github.io/

Twitter:@Marlon_E_Cobos

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Marlon E. Cobos's repositories

kuenm

kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.

rangemap

rangemap: Simple Tools for Defining Species Ranges

nichevol

Tools for ecological niche evolution assessment considering uncertainty

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ellipsenm

ellipsenm: Ecological niche’s characterization using ellipsoids

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ENM_manuals

R scripts that help to perform common analyses in niche modeling exercises

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kuenm2

Repository for the new major version of kuenm

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ENM_paleo

ENM in Paleo applications

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evniche

Ellipsoid-based virtual niches

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host-pathogen

Repository containing scripts to run protocols to detect signals of pathogen niches using host data

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Neanderthal

Scripts to run analyses done in the paper

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Spirodelap_ENM

Scripts to reproduce analyses and figures

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ASM_course

Scripts and materials to run examples for the course

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biosurvey

Biological Survey Planning

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enmpa

Ecological Niche Modeling usign Presence-Absence Data

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Evol_polygyny

Code and data for reproducing analyses performed in this project.

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grinnell

An R package to simulate dispersal and accessibility based on niche estimations

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GWAS_simulation

A repository to store code to simulate data and perform analyses for GWAS

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Hanta_PAN_suitability

Repository for code and results for the project: Suitability dynamics for hatanvirus and hosts in Panama

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new_MOP

extension of MOP analysis

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PAMs-Mexico

Presence absence matrices for raw data, IUCN data and niche modeling data

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sdmverse

sdmverse is a collaborative metapackage for listing all the metadata of the Species Distribution Modelling (SDM) packages. sdmverse includes a graphical interface available locally or online (see below). sdmverse integrates metadata from SDM packages and checks their validity against the CRAN metadata for perenity.

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Tick_KSOK

Code repository for the project "RII Track-2 FEC: Marshalling Diverse Big Data Streams to Understand Risk of Tick-Borne Diseases in the Great Plains" supported by NSF EPSCoR (IIA-1920946)

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