Cristina Martin Hernandez

2018-Present    RA Information Systems and Data Analyst, UKCEH            

2017-2018    Data Manager Intern, RSPB (Royal Society for the Protection of Birds):Digitizing and processing of farmland bird census data in ArcGIS and in the RSPB database (Merlin). Dataset creation and update in the RSPB database.

2016-2017    MSc Animal Behaviour: Applications for conservation, Anglia Ruskin University: Gain an understanding of the application of animal behaviour to conservation. Learning of GIS, remote sensing, satellite tracking, statistics and data analysis.

2006-2012    BSc Biology, Universidad de Salamanca: 5 years degree, first three years dedicated to general biology and two last years to environmental studies.

Summary of Professional Expertise

My current role at CEH includes:

• Data Centre Operative in the Environmental Information Data Centre (EIDC)
• Develop and manage websites (including Drupal based websites). Some examples include:
  • http://www.apis.ac.uk/
  • http://www.pollutantdeposition.ceh.ac.uk/
  • http://www.scail.ceh.ac.uk/
  • https://www.farmtreestoair.ceh.ac.uk/
  • https://icpvegetation.ceh.ac.uk/
  • https://www.caper.ceh.ac.uk/
• Develop online tools and applications with R Shiny. Some examples include
  • https://shiny-apps.ceh.ac.uk/pollutionremoval/
  • https://www.farmtreestoair.ceh.ac.uk/ammonia-reduction-calculator
• Processing of data (spatial and tabulated): Example of published datasets:
  • https://catalogue.ceh.ac.uk/documents/735dd995-333c-4b02-8fb1-287b7b2cefdf
  • https://catalogue.ceh.ac.uk/documents/4538e272-f276-472f-b11c-fcf84e2cc306
  • https://catalogue.ceh.ac.uk/documents/5537065d-4166-438a-be4f-52f59875a6e1
• GIS Map creation with R, QGIS and ArcMap
• Runing of OpenFoam and MODDAS models on Jasmin computer cluster

Technical and IT Skills

Spatial

ArcGIS: digitizing, mapping, simple spatial analysis, Story maps
R spatial packages used: sf, raster, rgdal, sp, fasterize and others
QGIS: digitizing, mapping, simple spatial analysis, beginner use of GRASS plugins

Data processing

R packages used: dplyr, ROracle, pool, DT, ggplot2, plotly and others
FME: FME Workbench and Data Inspector
Linux: beginner in fast file processing

Website development and management

Drupal
Drush: Using Drupal’s Drush interface to upgrade and maintain websites and servers
R Shiny package: Using R Shiny to develop website applications and tools.

Code languages

R
Python
PHP
JavaScript
HTML
CSS
SQL