Mathis Loïc Messager (messamat)

messamat

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Location:Lyon, France

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Mathis Loïc Messager's repositories

BrazilDCI_Python

Assessment and trade-off analysis of energy production and river fragmentation by hydropower dams in Brazil

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BrazilDCI_R

Assessment and trade-off analysis of energy production and river fragmentation by hydropower dams in Brazil

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globalIRmap

Code for analysis and online research compendium for Messager et al. "Global prevalence of non-perennial rivers and streams".

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Ruhietal2018_Shinyapp

Source code for online app serving as supplemetary material to Ruhi, A., Messager, L. M., & Olden, J. D. (2017) "Consistent freshwater resource monitoring for a changing world"

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stormwater_samplingR

R scripts to find traffic-related polution hotspots in the Puget Sound Watershed and allocate field sites to sample heavy metal concentrations in moss.

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FER_IRES

Systematic review of flow-ecology relationships (FER) in intermittent rivers and ephemeral streams (IRES)

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GEFIS_testR

Compare environmental flow estimates from the Global Environmental Flow Information System to local e-flow assessments

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globalEF_testPy

Python code for Messager et al. (2024) 'Limited comparability of global and local estimates of environmental flow requirements to sustain river ecosystems'

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globalEF_testR

R code for Messager et al. (2024) 'Limited comparability of global and local estimates of environmental flow requirements to sustain river ecosystems''

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globalIRmap_py

Code for pre-processing and spatial analysis for Messager et al. (2021) "Global prevalence of non-perennial rivers and streams" published in Nature

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flood_vulnerability_wa

Fine scale assessment of riverine flood vulnerability in Washington State

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flood_vulnerability_waR

Fine scale assessment of flood vulnerability in Washington State - R scripts

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GSIMires

Global compilation of streamflow gauging stations monitoring non-perennial rivers and streams

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HEED

Higher Education Ecological Data survey

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HydroATLAS_sampleR

Example workflow to snap sites on rivers and lakes to RiverATLAS and LakeATLAS, respectively, and extract raster data

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hydrocleanR

Shiny application to interactively visualize and clean up hydrological data

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IRESdroughts

Analysis supporting Sarremejane et al. (in review) Drought in intermittent river and ephemeral stream networks

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LakeATLAS_R

Analysis of LakeATLAS

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TZclass

River classification for Tanzania

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TZclass_GIS

Python scripts for Tanzania river classification

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