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biodiversityDS.
biodiversityDS.

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Dec 13, 2021

Producing a global map of Sea Surface Oxygen in R

Plotting spatial data is a common task in research, but this requires a set of technical / design tools, which sometimes are not available to all. Here I provide a step-by-step guide to help producing an equal area map of sea surface oxygen in R. The code provided can be…

Code

2 min read

Producing a global map of Sea Surface Oxygen in R
Producing a global map of Sea Surface Oxygen in R
Code

2 min read


Published in Sea changes

·Mar 16, 2021

The European network of marine reserves is weak in protecting biodiversity

Keywords: Marine Protected Areas; Biodiversity connectivity Marine Protected Areas (MPAs) are key tools for ocean resource management and conservation. They prevent marine biodiversity declines and increase the resilience of ecosystems by protecting critical habitats and spawning biomass, as well as by supplying propagule and adult spillover to adjacent unprotected areas…

Conservation

2 min read

The European network of marine reserves is weak in protecting biodiversity
The European network of marine reserves is weak in protecting biodiversity
Conservation

2 min read


Feb 6, 2021

Mapping Arctic sea ice extent in R

Sea ice generates as seawater freezes, and because it is less dense than sea water, it floats throughout the surface of the ocean. Sea ice covers approximately 12% of the world’s oceans, and much of it is enclosed within the polar ice packs: the Arctic ice pack (Arctic Ocean) and…

Climate Change

4 min read

Mapping Arctic sea ice extent in R
Mapping Arctic sea ice extent in R
Climate Change

4 min read


Sep 14, 2020

Downloading biodiversity records from iNaturalist with Python

iNaturalist is a global platform where naturalists, citizen scientists, and biologists post their observations with photographs. Observations can be curated by the network of users to provide valuable open data to scientific research projects, conservation agencies and the general public. …

Python

2 min read

Downloading multiple biodiversity records from iNaturalist using Python
Downloading multiple biodiversity records from iNaturalist using Python
Python

2 min read


Aug 5, 2020

Reducing spatial autocorrelation in Species Distribution Modelling

Species distribution models (SDM; for review and definition see, e.g., Peterson et al., 2011) are a dominant paradigm to quantify the relationship between environmental dynamics and several manifestations of species biogeography. …

Featured

3 min read

Reducing spatial autocorrelation in Species Distribution Modelling
Reducing spatial autocorrelation in Species Distribution Modelling
Featured

3 min read


Dec 22, 2019

Producing a landmass shapefile of the Last Glacial Maximum in R

The major cause of global sea-level change is the exchange of water between ice and ocean during ice ages. The Last Glacial Maximum (LGM) was the most recent period with ice sheets at their greatest extent (maximum coverage between 26,500 and 19,000 years ago). Massive ice sheets covered much of…

Data Science

2 min read

Producing a landmass shapefile of the Last Glacial Maximum in R
Producing a landmass shapefile of the Last Glacial Maximum in R
Data Science

2 min read


Dec 5, 2019

Standardized population genetic diversity in R

Genetic diversity estimation per site or group of sites can be biased due to unbalanced sampling designs. There is an expected relationship between the number of sampled individuals in a single population and genetic diversity (e.g., as allelic richness; the total number of alleles). To overcome the issue, standardized allelic…

Code

2 min read

Standardized population genetic diversity in R
Standardized population genetic diversity in R
Code

2 min read


Dec 4, 2019

Easy to use marine climate layers for ecological modelling

The availability of high-resolution global environmental datasets is crucial to model the relationship between the occurrence or abundance of species and their natural environment. For terrestrial environments, WorldClim has served this purpose since the early 2000s, significantly improving the application in the fields of ecology, biogeography, conservation biology and evolution. …

Environment

3 min read

Easy to use marine climate layers for ecological modelling
Easy to use marine climate layers for ecological modelling
Environment

3 min read


Published in Sea changes

·Nov 26, 2019

Past climate changes driving biodiversity levels of marine species

The glacial and interglacial cycles of the Quaternary were particularly important in shaping the distribution of marine species, with range expansions and contractions responding to climate oscillations. The Last Glacial Maximum was one of the most extreme periods of the Quaternary, resulting in severe reductions in the northern distribution of…

Climate Change

2 min read

Climate change drives biodiversity levels of marine species
Climate change drives biodiversity levels of marine species
Climate Change

2 min read


Nov 25, 2019

How to determine minimum marine distances in R

Unlike measuring pairwise terrestrial distances, marine distances need to account for landmasses, which cannot be crossed. Marine distances are a crucial predictor in genetics to build isolation by distance models. These measure gene frequencies variation under increasing geographic distances. When marine distances are plotted against pairwise genetic differentation levels, a…

Data Science

2 min read

How to determine minimum marine distances in R
How to determine minimum marine distances in R
Data Science

2 min read

biodiversityDS.

biodiversityDS.

80 Followers

Hi!! I’m Jorge Assis, a Data Scientist, Marine Ecologist, Climate Change Analyst, R and Python Developer based in Portugal [biodiversitydatascience.com]

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