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biodiversity Map Tracker containerit logo

How to install and run

Before to install, please try to demo version.

R Environment

require(devtools)
install_github("kmezhoud/biodiversity")
library(biodiversity)
biodiversity()

Docker Image

How to build Docker Image

Navigate to where Dockerfile and DESCRIPTION folder.

docker build --tag biodiversity .
docker tag biodiversity kmezhoud/biodiversity:0.1
docker push kmezhoud/biodiversity:0.1

How to run

 # docker login -u kmezhoud
 # run local check navigator at 127.0.0.1:3838
 # docker run -d -p  3838:3838 kmezhoud/biodiversity:0.1
 # run from dockerHub 
 docker run -d -p  3838:3838 kmezhoud/biodiversity:0.1
 
 ## killing container issue
 ## container_linux.go:392: signaling init process caused "permission denied": unknown
 ## sudo aa-remove-unknown
## Removing '/snap/core/11993/usr/lib/snapd/snap-confine'
## Removing 'docker-default'

https://github.com/kmezhoud/biodiversity

https://github.com/kmezhoud/biodiversity

https://github.com/kmezhoud/biodiversity

https://github.com/kmezhoud/biodiversity

Extras Skills

  • biodiversity is a complete R package
    • Build/Check/Test package
  • Docker container is available.
  • Extend search to multiple countries: Poland, Switzerland, Germany, France, Spain.
  • Convert csv files to sqlite database.
    • Faster read of tables
    • focus search on selcted tables
  • Add popup to select interested countries to focus on.
    • Reduce waiting time and improve reactivity of the App.
    • Limit functionalities to wanted countries
  • Add Progressbar to inform the user what the app is doing
  • Starting Map position focus of the mean(s) of latitude(s) and longitude(s) of selected Countri(es).
    • User do not need to scroll the map to selected countries.
  • Add a Layout control panel for existing Kingdom
    • Rapid Overview of the position of Animals, Plants and Others
    • User can focus search by Kingdom
  • User can search by vernacularName, the app returns scientificName and vice versa.
  • After searching and selected species from the search engine, the Map go and Focus on item position with:
    • Indicate the position with red circle, and
    • Open popup with all needed information:
      • External link to original data,
      • How many times the species has been encountered,
      • Individual Count in each encounter,
      • Image,
      • Link to reference.
  • Button to iterate search if user want to change/select other countries
  • Info Boxes indicating the total of each existing king.
  • CSS styling with logos in header, Absolute Panel with transparent Button

Deal with occurence.cvs and multimedia.csv

Locate the column of the countries

read.table(file = "biodiversity-data/occurence.csv", header = TRUE,
              sep = ",", nrows = 1) %>%
  names() %>%
  stringr::str_locate(fixed("country", ignore_case=TRUE) ) %>%
  as_tibble()%>%
  tibble::rowid_to_column("index") %>%
  drop_na() %>%
  pull(index)

[1] 22 23

Extract only rows with Poland and Switzerland in column 22 and save it to occurence_poland_Switezerland.csv

awk -F, '$22 ~ /^Poland|Switzerland/' "biodiversity-data/occurence_poland_Switezerland.csv" > occurence_poland.csv

Load only used columns from multimedia

multimedia <- fread("biodiversity-data/multimedia.csv", header = TRUE,
                    select = c("CoreId", "accessURI")) %>%
  rename( id = CoreId) %>%
  mutate(id = as.factor(id))

Join Files

occurence <- fread("occurence_poland_Switzerland.csv", header = TRUE, sep= ',', 
                   select = c("id", "eventDate", "eventTime", "locality", "kingdom", "family",
                              "vernacularName", "scientificName", "longitudeDecimal", "individualCount", "latitudeDecimal", "countryCode","references"))
                              
occurence <- occurence %>%
              select_if(function(x) !(all(is.na(x)) | all(x==""))) %>%
              mutate(eventDate = as.POSIXct(eventDate,format="%Y-%m-%d")) %>%
                tidyr::extract(col = locality, into = c("country", "locality"),
                             regex =  "([A-Z]+[a-z]+\\s)-(\\s[A-Z]+[a-z]+)",remove = TRUE)  %>%
              mutate(kingdom = if_else(kingdom == "", "Unknown", kingdom)) %>%
              mutate(id = as.factor(id), kingdom = as.factor(kingdom),
                     family = as.factor(family), locality = as.factor(locality),
                     vernacularName = as.factor(vernacularName),
                     scientificName = as.factor(scientificName)) 


full_data_polanSwitzerland <- occurence %>%
                              left_join(multimedia, by="id") 

write.csv(full_data_polanSwitzerland, file = "inst/biodiversity/extdata/full_data_poland_Switzerland.csv")

Convert occcurence.csv and multimedia.csv to sqlite database

Keywords

  • Freq: How many time the species was found in different place or date.time
  • Total: The sum of all individus
  • We can add any needed informations in Popups.

Issues

  • addSearchFeatures highlight multiple circles with same species.

  • In some case Image not found in app but exists in Link (case red Fox)

    • search feature process seems to go to the first matched regex and stop search.
  • addSearchFeatures works if all groups are checked

    • All Kingdoms must be checked for the addSearchFeatures
  • The number of Kingdoms in countries is not the same. For examaple in Czechia there is no Fungi nor Unknown. addCircles function for Fungi and Unknown received empty data.frame which makes error.

    • Try if_else condition with %>% like
      • ... %>% {if_else(nrow(biodiversity_data_Animalia)>0, addCiles(...), .)} %>% ... or
      • ... %>% purrr::when(nrow(biodiversity_data_Animalia)>0, ~addCircles(...), ~.) %>% ... .
    Warning: Error in dispatch: argument "map" is missing, with no default
    114: dispatch
    113: invokeMethod
    109: addCircles
    108: eval
    107: eval
    106: purrr::when
    105: function_list[[i]]
    104: freduce
    103: _fseq
    102: eval
    101: eval
     99: %>%
     95: func [frontPage.R#97]
     82: origRenderFunc
     81: output$worldMap
      1: runApp
  • Display Map after Ploting... progressBar takes long time if there are a lot of CircleMarkers.

    • It depends on screen resolution and computer features.
  • Loading countries.geojson file makes the app slowly [solved]

    • Use simplest map
  • Extend the app to others countries by passing the name of countries as an argument biodiversity(countries = c("Poland", "Germany")) [outdated]

    • Not a good idea if we deploy app in server.
      • Use instead popup with selectInput of countries at the starting [solved]
  • shinyapp.io is out of memory during Plot of Germany, Spain, France.

https://github.com/kmezhoud/biodiversity

To Do

  • Extend countries to Provinces and Localities: improve precision and search. In some case there a lot of locality (example France)

    https://github.com/kmezhoud/biodiversity

Deploy App using Cloud and Shiny Server

The shiny App can be deployed in any Cloud service like DigitalOcean with Ubuntu server.

# connect to the remote server
ssh remote_username@remote_host
#add user with root privilege
adduser kirus
gpasswd -a kirus sudo
su - kirus
# install nginx
sudo apt-get update
sudo apt-get -y install nginx
# Set virtual domain name
# add source for most recent version of R  for ubuntu 18.04
sudo sh -c 'echo "deb http://cran.rstudio.com/bin/linux/ubuntu bionic-cran40/" >> /etc/apt/sources.list'
gpg --keyserver keyserver.ubuntu.com --recv-key E298A3A825C0D65DFD57CBB651716619E084DAB9
gpg -a --export E298A3A825C0D65DFD57CBB651716619E084DAB9 | sudo apt-key add -
# install R
sudo apt-get update
sudo apt-get -y install r-base
# install useful packages
sudo apt-get -y install libcurl4-gnutls-dev libxml2-dev libssl-dev
sudo su - -c "R -e \"install.packages('promises', repos='http://cran.rstudio.com/')\""
# install rstudio server
sudo apt-get install gdebi-core
wget https://download2.rstudio.org/server/bionic/amd64/rstudio-server-1.4.1106-amd64.deb
sudo gdebi rstudio-server-1.4.1106-amd64.deb
# check browser at 10.11.12.121:8787/

# install shiny server
sudo su - -c "R -e \"install.packages('shiny', repos='http://cran.rstudio.com/')\""
sudo su - -c "R -e \"install.packages('rmarkdown', repos='http://cran.rstudio.com/')\""
wget https://download3.rstudio.org/ubuntu-14.04/x86_64/shiny-server-1.5.15.953-amd64.deb
sudo gdebi shiny-server-1.5.15.953-amd64.deb
# chack browser at http://10.11.12:3838/

# install biodiversity dependencies
sudo su - -c "R -e \"install.packages(c('shiny','shinytheme'), repos='http://cran.rstudio.com/')\""
sudo su - -c "R -e \"install.packages(c('leaflet', 'leaflet.extras', 'countrycode'), repos='http://cran.rstudio.com/')\""
sudo su - -c "R -e \"install.packages(c('tidyverse','data.table' ), repos='http://cran.rstudio.com/')\""

## install biodiversity from github if public
sudo su - -c "R -e \"devtools::install_github('kmezhoud/biodiversity')\""

## other option built binary source tar.gz and install it as a root
#Build package in /home/kirus
sudo su - -c "R -e \"install.packages(“/home/kirus/biodiversity.01.tar.gz”, type=”source”)\""
#The next step is to change the owner of the package folder
chown -R shiny:shiny /usr/local/lib/R/site-library/biodiversity/
# or
chown -R shiny:shiny /home/kirus/R/x86_64-pc-linux-gnu-library/4.0/biodiversity/
systemctl restart shiny-server
# or change shiny-server.conf rus_as “kirus” (where is the package are build) instead “shiny”
# This is also right for the zintr package if installed in  /home of the kirus profile.

# set shiny-server.conf
nano /etc/shiny-server/shiny-server.conf
## Add the following section

location /biodiversity {
 app_dir /usr/local/lib/R/site-library/biodiversity/biodiversity;
 log_dir /var/log/shiny-server;
 directory_index on;
 }

# check browser at http://192.168.10.1:3838/biodiversity

Security System

It can be protected by a strong security system:

  • Firewall with iptable and email Alert

  • Reserve Proxy with SSL and Domaine certificate

  • Keyring system for sensitive code like: Login detail, IP adress, tables and column names

  • IP verification and geo-restrinction

https://github.com/kmezhoud/biodiversity

Mobile App

The App can be implemented for Smartphone using F7 framework.

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Biodiversity Map Tracking using Open Biodiversity Datasets

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