Statistical Algorithms Importer: R Project

Project Folder

After select an empty folder on the e-Infrastructure Workspace, the system creates an empty project in that folder.

Create Project, SAI

Import Resources

Any resource needed to run the script can be imported in the Project Folder. Resources cab be added either via the Workspace or using the Add Resource button in main menu, or dragging and dropping files in the folder window.

Add Resource, SAI

Thus, if the resource is on the user's local file system, (s)he can use the Drag and Drop facility, working also with multiple files.

Adding resources with Drag and Drop, SAI

Import Resources From GitHub

If you have a project on GitHub, you can import it into SAI. After creating a new project, just click the menu button on GitHub.

GitHub on Menu, SAI

You may access the GitHub Connector wizard. Please, read here to see how to use it: GitHub Connector

Set Main Code

After adding the scripts and resources, one of the script files should be indicated as Main code. The e-Infrastructure will run this code, which is supposed to import and orchestrate the other scripts. Indicating a script as Main code can be done by clicking the Set Main button in Project Explorer. The file will be loaded in the Editor. In this phase the system also reads possible annotations inside the script (e.g. WPS4R annotations). At this point, the user can change the code and save it using the Save button on the Editor panel. Alternatively, the user can also use Copy and Paste by writing the code directly in the editor and then save it, still using the Save button in Editor menu (A file name will be requested).

Set Main Code facility, SAI

Input

In this area the system collects all the information required by the system to create software for the e-Infrastructure and communicate with the e-Infrastructure team. Metadata, input/output information, global parameters and required packages are collected here.

Global Variables

In this panel you can add any Global Variable that are used by the script as pre-requisite.

Global Variables indication, SAI

Input/Output

In this area, selected input and output from the script is collected. In order to add a new I/O, the user should select a row in the code (from the the Editor) and than click the +Input (or +Output) button in the Menu Editor.

A new row is added to the Input/Output list. The system parses the code behind the scenes and guesses the best type, description and name of the parameter. Once a row has been created in the Input/Output window, the user can change information by clicking on the row. At least one input is required for compiling the project. The name of the input variable and the default value should not be changed unless a parsing error occurred. The reason is that the infrastructure will discover the variables inside the script by using the name and the default value.

Note: as a general rule, always set a default value for a variable, otherwise the execution of the algorithm may be compromised. Thus, do not use empty strings as default values.

Input/Output window, SAI

Advanced Input

It is possible to indicate spatial inputs or time/date inputs. The details for the definition of these dare are reported in the Advanced Input

Interpreter Info

You can add Version and Packages information in the Interpreter Info panel. The version number is mandatory for the project. Here, for example, a user should specify the version of the R interpreter and the packages needed to run the script. These will be installed on the e-Infrastructure machines during the first deployment session.

Interpreter Info, SAI

A list of pre-installed software on the infrastructure machines is available at this page: Pre Installed Packages

Project Info

A name and a description of the project are mandatory. These will be displayed to the user of the e-Infrastructure and should also contain proper citation of the algorithm. Special characters are not allowed for the algorithm name. The user can include the category of the algorithm.

Project Info, SAI

Save Project

You can save project by click on Save button in main menu. A file called stat_algo.project is add to Project Folder.

Save Project, SAI

Inheritance of Global and Infrastructure Variables

the following global variables are inherited by all the R scripts running in the e-Infrastructure. They are meant to allow the scripts to contact the infrastructure services:

gcube_username (the user who run the computation, e.g. gianpaolo.coro)

gcube_context (the VRE the process was run in, e.g. d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab)

gcube_token (the token of the user for the VRE, e.g. 1234-567-890)

Using WPS4R Annotations

SAI automatically parses R code containing WPS4R annotations, the system automatically transforms annotations into Input/Output panel and Project Info panel information. The name of algorithm is mandatory in the annotations. We report a full example of annotated algorithm and attach the complete algorithm in a zip package:

############################################################################################################################
############# Absence Generation Script - Gianpaolo Coro and Chiara Magliozzi, CNR 2015, Last version 06-07-2015 ###########
############################################################################################################################
#Modified 25-05-2017
 
#52North WPS annotations
# wps.des: id = Absence_generation_from_OBIS, title = Absence_generation_from_OBIS, abstract = A script to estimate absence records from OBIS;
 
####REST API VERSION#####
rm(list=ls(all=TRUE))
graphics.off() 
 
## charging the libraries
library(DBI)
library(RPostgreSQL)
library(raster)
library(maptools)
library("sqldf")
library(RJSONIO)
library(httr)
library(data.table)
 
# time
t0<-Sys.time()
 
## parameters 
# wps.in: id = list, type = text/plain, title = list of species beginning with the speciesname header,value="species.txt";
list= "species.txt"
specieslist<-read.table(list,header=T,sep=",") # my short dataset 2 species
#attach(specieslist)
# wps.in: id = res, type = double, title = resolution of the analysis,value=1;
res=1;
extent_x=180
extent_y=90
n=extent_y*2/res;
m=extent_x*2/res;
# wps.in: id = occ_percentage, type = double, title = percentage of observations occurrence of a viable survey,value=0.1;
occ_percentage=0.05 #between 0 and 1
 
#uncomment for time filtering
 
#No time filter
TimeStart<-"";
TimeEnd<-"";
 
TimeStart<-gsub("(^ +)|( +$)", "",TimeStart)
TimeEnd<-gsub("(^ +)|( +$)", "", TimeEnd)
 
#AUX function
pos_id<-function(latitude,longitude){
  #latitude<-round(latitude, digits = 3)
  #longitude<-round(longitude, digits = 3)
  latitude<-latitude
  longitude<-longitude
  code<-paste(latitude,";",longitude,sep="")
  return(code)
}
 
## opening the connection with postgres
cat("REST API VERSION\n")
cat("PROCESS VERSION 6 \n")
cat("Opening the connection with the catalog\n")
#drv <- dbDriver("PostgreSQL")
#con <- dbConnect(drv, dbname="obis", host="...", port="...", user="...", password="...")
 
cat("Analyzing the list of species\n")
counter=0;
overall=length(specieslist$scientificname)
 
cat("Extraction from the different contributors the total number of obs per resource id...\n")
 
timefilter<-""
if (nchar(TimeStart)>0 && nchar(TimeEnd)>0)
  timefilter<-paste(" where datecollected>'",TimeStart,"' and datecollected<'",TimeEnd,"'",sep="");
 
queryCache <- paste("select drs.resource_id, count(distinct position_id) as allcount from obis.drs", timefilter, " group by drs.resource_id",sep="")
cat("Resources extraction query:",queryCache,"\n")
 
allresfile="allresources.dat"
if (file.exists(allresfile)){
  load(allresfile)
} else{
  #allresources1<-dbGetQuery(con,queryCache)
  ######QUERY 0 - REST CALL
  cat("Q0:querying for resources\n")
 
  getJsonQ0<-function(limit,offset){
    cat("Q0: offset",offset,"limit",limit,"\n")
    resources_query<-paste("http://api.iobis.org/resource?limit=",limit,"&offset=",offset,sep="")
 
    json_file <- fromJSON(resources_query)
 
    #res_count<-json_file$count
    res_count<-length(json_file$results)
    res_count_json<<-json_file$count
    cat("Q0:json count vs count",res_count_json,"vs",res_count,"\n",sep=" ")
 
    allresources1 <- data.frame(resource_id=integer(),allcount=integer())
 
    for (i in 1:res_count){
      #cat(i,"\n")
      if (is.null(json_file$results[[i]]$record_cnt))
        json_file$results[[i]]$record_cnt=0
      row<-data.frame(resource_id = json_file$results[[i]]$id, allcount = json_file$results[[i]]$record_cnt)
      allresources1 <- rbind(allresources1, row)
    }
    rm(json_file)
    return(allresources1)
  }
  objects = 1000
  allresources1<-getJsonQ0(objects,0)
  ceil<-ceiling(res_count_json/objects)
  if (ceil>1){
    for (i in 2:ceil){
      cat(">call n.",i,"\n")
      allresources1.1<-getJsonQ0(objects,objects*(i-1))
      allresources1<-rbind(allresources1,allresources1.1)
    }
  }
  ######END REST CALL
  save(allresources1,file=allresfile)
}
 
 
cat("All resources saved\n")
 
files<-vector()
f<-0
if (!file.exists("./data"))
  dir.create("./data")
 
cat("About to analyse species\n")
 
for (sp in specieslist$scientificname){
  f<-f+1
  t1<-Sys.time()
  graphics.off()
  grid=matrix(data=0,nrow=n,ncol=m)
  gridInfo=matrix(data="",nrow=n,ncol=m)
  outputfileAbs=paste("data/Absences_",sp,"_",res,"deg.csv",sep="");
  outputimage=paste("data/Absences_",sp,"_",res,"deg.png",sep="");
 
  counter=counter+1;
  cat("analyzing species",sp,"\n")
  cat("***Species status",counter,"of",overall,"\n")
 
  ## first query: select the species
  cat("Extraction the species id from the OBIS database...\n")
  query1<-paste("select id from obis.tnames where tname='",sp,"'", sep="")
  #obis_id<- dbGetQuery(con,query1)
 
  ######QUERY 1 - REST CALL
  cat("Q1:querying for the species",sp," \n")
  query1<-paste("http://api.iobis.org/taxa?scientificname=",URLencode(sp),sep="")
  cat("Q1:query: ",query1," \n")
  result_from_httr1<-GET(query1, timeout(1*3600))
  json_obis_taxa_id <- fromJSON(content(result_from_httr1, as="text"))
 
  #json_obis_taxa_id <- fromJSON(query1)
  cat("Q1:query done\n")
  res_count_json<-json_obis_taxa_id$count
  res_count<-length(json_obis_taxa_id$results)
  cat("Q1:json count vs count",res_count_json,"vs",res_count,"\n",sep=" ")
  obis_id<-json_obis_taxa_id$results[[1]]$id
  obis_id<-data.frame(id=obis_id)
  ######END REST CALL
 
  cat("The ID extracted is ", obis_id$id, "for the species", sp, "\n", sep=" ")
  if (nrow(obis_id)==0) {
    cat("WARNING: there is no reference code for", sp,"\n")
    next;
  }
 
  ## second query: select the contributors
  cat("Selection of the contributors in the database having recorded the species...\n")
  query2<- paste("select distinct resource_id from obis.drs where valid_id='",obis_id$id,"'", sep="")
  #posresource<-dbGetQuery(con,query2)
 
  ######QUERY 2 - REST CALL
  cat("Q2:querying for obisid ",obis_id$id," \n")
 
 
    downlq<-paste("http://api.iobis.org/occurrence/download?obisid=",obis_id$id,"&sync=true",sep="")
    cat("Q2:query",downlq," \n")
 
    filezip<-paste("sp_",obis_id$id,".zip",sep="")
    dirzip<-paste("./sp_",obis_id$id,sep="")
    download.file(downlq, filezip, method="wget", quiet = F, mode = "w",cacheOK = FALSE)
    cat("Q2:dirzip",dirzip," \n")
 
    if (!file.exists(dirzip))
	dir.create(dirzip)
    cat("Q2:unzipping",dirzip," \n")
    unzip(filezip,exdir=dirzip)
 
    csvfile<-dir(dirzip)
    csvfile<-paste(dirzip,"/",csvfile[1],sep="") 
    cat("Q2:reading csv file",csvfile," \n")
    occurrences<-read.csv(csvfile)
    posresource<-sqldf("select resource_id from occurrences",drv="SQLite")
    tgtresources1<-sqldf("select resource_id, latitude || ';' || longitude as tgtcount from occurrences",drv="SQLite")
    posresource<-sqldf("select distinct * from posresource",drv="SQLite")
    rm(occurrences)
  ######END REST CALL
 
  if (nrow(posresource)==0) {
    cat("WARNING: there are no resources for", sp,"\n")
    next;
  }
 
 
  ## third query: select from the contributors different observations
  merge(allresources1, posresource, by="resource_id")-> res_ids
 
  ## forth query: how many obs are contained in each contributors for the species
  cat("Extraction from the different contributors the number of obs for the species...\n")
  query4 <- paste("select drs.resource_id, count(distinct position_id) as tgtcount from obis.drs where valid_id='",obis_id$id,"'group by drs.resource_id ",sep="")
  #tgtresources1<-dbGetQuery(con,query4)
 
  ######QUERY 4 - REST CALL
  cat("Q4:extracting obs from contributors ",obis_id$id," \n")
  getJsonQ4<-function(limit, offset){
    cat("Q4: offset",offset,"limit",limit,"\n")
    query4<-paste("http://api.iobis.org/occurrence?obisid=",obis_id$id,"&limit=",limit,"&offset=",offset,sep="")
    result_from_httr<-GET(query4, timeout(1*3600))
    jsonDoc <- fromJSON(content(result_from_httr, as="text"))
    res_count_json<<-jsonDoc$count
    res_count<-length(jsonDoc$results)
    cat("Q4:json count vs count",res_count_json,"vs",res_count,"\n",sep=" ")
 
    tgtresources1 <- data.frame(resource_id=integer(),tgtcount=character())
    res_count<-length(jsonDoc$results)
    for (i in 1:res_count){
      positionID<-pos_id(jsonDoc$results[[i]]$decimalLatitude,jsonDoc$results[[i]]$decimalLongitude)
      row<-data.frame(resource_id = jsonDoc$results[[i]]$resourceID , tgtcount=positionID)
      tgtresources1 <- rbind(tgtresources1, row)
    }
    #tgtresources1<-sqldf("select resource_id, count(distinct tgtcount) as tgtcount from tgtresources1 group by resource_id",drv="SQLite")
 
    return(tgtresources1)
  }
 
  #objects = 1500
  #tgtresources1<-getJsonQ4(objects,0)
  #ceil<-ceiling(res_count_json/objects)
  #if (ceil>1){
    #for (i in 2:ceil){
     # cat(">call n.",i,"\n")
      #tgtresources1.1<-getJsonQ4(objects,objects*(i-1))
      #tgtresources1<-rbind(tgtresources1,tgtresources1.1)
    #}
  #}
 
  tgtresources1<-sqldf("select resource_id, count(distinct tgtcount) as tgtcount from tgtresources1 group by resource_id",drv="SQLite")
 
  ######END REST CALL
 
 
  merge(tgtresources1, posresource, by="resource_id")-> tgtresourcesSpecies 
 
  ## fifth query: select contributors that has al least 0.1 observation of the species
  #### we have the table all together: contributors, obs in each contributors for at leat one species and obs of the species in each contributors
  cat("Extracting the contributors containing more than 10% of observations for the species\n")
  cat("Selected occurrence percentage: ",occ_percentage,"\n")
 
  tmp <- merge(res_ids, tgtresourcesSpecies, by= "resource_id",all.x=T)
  tmp["species_10"] <- NA 
  as.numeric(tmp$tgtcount) / tmp$allcount -> tmp$species_10
 
 
 
  viable_res_ids <- subset(tmp,species_10 >= occ_percentage, select=c("resource_id","allcount","tgtcount", "species_10")) 
  #cat(viable_res_ids)
 
  if (nrow(viable_res_ids)==0) {
    cat("WARNING: there are no viable points for", sp,"\n")
    next;
  }
 
  numericselres<-paste("'",paste(as.character(as.numeric(t(viable_res_ids["resource_id"]))),collapse="','"),"'",sep="")
  selresnumbers<-as.numeric(t(viable_res_ids["resource_id"]))
 
  ## sixth query: select all the cell at 0.1 degrees resolution in the main contributors
  cat("Select the cells at 0.1 degrees resolution for the main contributors\n")
  query6 <- paste("select position_id, positions.latitude, positions.longitude, count(*) as allcount ", 
                  "from obis.drs ", 
                  "inner join obis.tnames on drs.valid_id=tnames.id ",
                  "inner join obis.positions on position_id=positions.id ",
                  "where resource_id in (", numericselres,") ",
                  "group by position_id, positions.latitude, positions.longitude, resource_id")
  #all_cells <- dbGetQuery(con,query6)
 
 
  ######QUERY 6 - REST CALL
  cat("Q6:extracting 0.1 cells from contributors \n")
 
    downlq<-paste("http://api.iobis.org/occurrence/download?resourceid=",gsub("'", "", numericselres),"&sync=true",sep="")
    cat("Q6:query",downlq," \n")
    filezip<-paste("rsp_",obis_id$id,".zip",sep="")
    dirzip<-paste("./rsp_",obis_id$id,sep="")
    download.file(downlq, filezip, method="wget", quiet = F, mode = "w",cacheOK = FALSE)
    cat("Q6:dirzip",dirzip," \n")
 
    if (!file.exists(dirzip))
	dir.create(dirzip)
    cat("Q6:unzipping",dirzip," \n")
    unzip(filezip,exdir=dirzip)
 
    csvfile<-dir(dirzip)
    csvfile<-paste(dirzip,"/",csvfile[1],sep="") 
    cat("Q6:reading csv file",csvfile," \n")
    occurrences<-read.csv(csvfile)
 
    all_cells_table<-sqldf("select resource_id, latitude || ';' || longitude as position, latitude ,longitude from occurrences",drv="SQLite")
    rm(occurrences)
  getJsonQ6<-function(limit,offset,selres){
    cat("Q6: offset",offset,"limit",limit,"\n")
    cat("Q6: resource",selres,"\n")
    #query6<-paste("http://api.iobis.org/occurrence?resourceid=",gsub("'", "", numericselres),"&limit=",limit,"&offset=",offset,sep="")
    if (offset>0)
      query6<-paste("http://api.iobis.org/occurrence?resourceid=",gsub("'", "", selres),"&limit=",limit,"&skipid=",offset,sep="")
    else
      query6<-paste("http://api.iobis.org/occurrence?resourceid=",gsub("'", "", selres),"&limit=",limit,sep="")
 
    cat("Q6:",query6," \n")
 
 
    jsonDoc = tryCatch({
      result_from_httr<-GET(query6, timeout(1*3600))
      cat("Q6: got answer\n")
      jsonDoc <- fromJSON(content(result_from_httr, as="text"))
    }, warning = function(w) {
      cat("Warning: ",w,"\n")
    }, error = function(e) {
      cat("Error: Too small value for resolution for this species - the solution spaceis too large!\n")
    }, finally = {
      jsonDoc=NA
    })
 
 
 
    res_count_json<<-jsonDoc$count
    res_count<-length(jsonDoc$results)
    cat("Q6:json count vs count",res_count_json,"vs",res_count,"\n",sep=" ")
 
    all_cells2 <- data.frame(resource_id=integer(),position_id=character(),latitude=integer(),longitude=integer())
    for (i in 1:res_count){
      positionID<-pos_id(jsonDoc$results[[i]]$decimalLatitude,jsonDoc$results[[i]]$decimalLongitude)
      row<-data.frame(resource_id = jsonDoc$results[[i]]$resourceID, position_id = positionID, latitude=jsonDoc$results[[i]]$decimalLatitude, longitude=jsonDoc$results[[i]]$decimalLongitude)
      all_cells2 <- rbind(all_cells2, row)
    }
    lastid<<-jsonDoc$results[[res_count]]$id
    return(all_cells2)
  }
 
  cat("All resources:",numericselres,"\n")
 
  all_cells<-sqldf("select position as position_id, latitude, longitude, count(*) as allcount from all_cells_table group by position, latitude, longitude, resource_id",drv="SQLite")
 
  ######END REST CALL
 
 
 
  ## seventh query:  select all the cell at 0.1 degrees resolution in the main contributors for the selected species
  cat("Select the cells at 0.1 degrees resolution for the species in the main contributors\n")
  query7 <- paste("select position_id, positions.latitude, positions.longitude, count(*) as tgtcount ",
                  "from obis.drs",
                  "inner join obis.tnames on drs.valid_id=tnames.id ", 
                  "inner join obis.positions on position_id=positions.id ", 
                  "where resource_id in (", numericselres,") ",
                  "and drs.valid_id='",obis_id$id,"'", 
                  "group by position_id, positions.latitude, positions.longitude")
  #presence_cells<-dbGetQuery(con,query7)
 
  ######QUERY 7 - REST CALL
  cat("Q7:extracting 0.1 cells for the species ",obis_id$id,"\n")
 
    downlq<-paste("http://api.iobis.org/occurrence/download?resourceid=",gsub("'", "", numericselres),"&obisid=",obis_id$id,"&sync=true",sep="")
    cat("Q7:query",downlq," \n")
    filezip<-paste("rspsp_",obis_id$id,".zip",sep="")
    dirzip<-paste("./rspsp_",obis_id$id,sep="")
    download.file(downlq, filezip, method="wget", quiet = F, mode = "w",cacheOK = FALSE)
    cat("Q7:dirzip",dirzip," \n")
 
    if (!file.exists(dirzip))
	dir.create(dirzip)
    cat("Q7:unzipping",dirzip," \n")
    unzip(filezip,exdir=dirzip)
 
    csvfile<-dir(dirzip)
    csvfile<-paste(dirzip,"/",csvfile[1],sep="") 
    cat("Q7:reading csv file",csvfile," \n")
    occurrences<-read.csv(csvfile)
 
    presence_cells2<-sqldf("select resource_id, latitude ,longitude, latitude || ';' || longitude as position from occurrences",drv="SQLite")
    rm(occurrences)
  getJsonQ7<-function(limit,offset){
    cat("Q7: offset",offset,"limit",limit,"\n")
    if (offset>0)
      query7<-paste("http://api.iobis.org/occurrence?resourceid=",gsub("'", "", numericselres),"&obisid=",obis_id$id,"&limit=",limit,sep="")
    else query7<-paste("http://api.iobis.org/occurrence?resourceid=",gsub("'", "", numericselres),"&obisid=",obis_id$id,"&limit=",limit,"&skipid=",offset,sep="")
 
    result_from_httr<-GET(query7, timeout(1*3600))
    jsonDoc <- fromJSON(content(result_from_httr, as="text"))
    res_count_json<<-jsonDoc$count
    res_count<-length(jsonDoc$results)
    cat("Q7:json count vs count",res_count_json,"vs",res_count,"\n",sep=" ")
 
    presence_cells2 <- data.frame(resource_id=integer(),position_id=character(),latitude=integer(),longitude=integer())
    for (i in 1:res_count){
 
      positionID<-pos_id(jsonDoc$results[[i]]$decimalLatitude,jsonDoc$results[[i]]$decimalLongitude)
      row<-data.frame(resource_id = jsonDoc$results[[i]]$resourceID, position_id = positionID, latitude=jsonDoc$results[[i]]$decimalLatitude, longitude=jsonDoc$results[[i]]$decimalLongitude)
      presence_cells2 <- rbind(presence_cells2, row)
    }
 
    lastid<<-jsonDoc$results[[res_count]]$id
 
    return(presence_cells2)
  }
 
 
  presence_cells<-sqldf("select position as position_id, latitude, longitude, count(*) as tgtcount from presence_cells2 group by position_id, latitude, longitude, resource_id",drv="SQLite")
 
  ######END REST CALL
 
  ## last query: for every cell in the sixth query if there is a correspondent in the seventh query I can put 1 otherwise 0
  #data.df<-merge(all_cells, presence_cells, by= "position_id",all.x=T)
  #data.df$longitude.y<-NULL 
  #data.df$latitude.y<-NULL
  #data.df[is.na(data.df)] <- 0 
 
  ######### Table resulting from the analysis
  #pres_abs_cells <- subset(data.df,select=c("latitude.x","longitude.x", "tgtcount","position_id"))
  #positions<-paste("'",paste(as.character(as.numeric(t(pres_abs_cells["position_id"]))),collapse="','"),"'",sep="")
  positions<-""
  query8<-paste("select position_id, resfullname,digirname,abstract,temporalscope,date_last_harvested",
                "from ((select distinct position_id,resource_id from obis.drs where position_id IN (", positions,
                ") order by position_id ) as a",
                "inner join (select id,resfullname,digirname,abstract,temporalscope,date_last_harvested from obis.resources where id in (",
                numericselres,")) as b on b.id = a.resource_id) as d")
 
  #resnames<-dbGetQuery(con,query8)
 
  ######QUERY 8 - REST CALL
  cat("Q8:extracting contributors details\n")
  data.df2<-merge(all_cells, presence_cells, by= "position_id",all.x=T)
  data.df2$longitude.y<-NULL 
  data.df2$latitude.y<-NULL
  data.df2[is.na(data.df2)] <- 0 
  rm (all_cells)
  pres_abs_cells2 <- subset(data.df2,select=c("latitude.x","longitude.x", "tgtcount","position_id"))
  positions2<-paste("'",paste(as.character(as.character(t(pres_abs_cells2["position_id"]))),collapse="','"),"'",sep="")
 
  refofpositions<-sqldf(paste("select distinct resource_id from all_cells_table where position in (",positions2,")"),drv="SQLite")
  referencesn<-nrow(refofpositions)
  resnames_res2 <- data.frame(resource_id=integer(),resfullname=character(),digirname=character(),abstract=character(),temporalscope=character(),date_last_harvested=character())
  for (i in 1: referencesn){
    query8<-paste("http://api.iobis.org/resource/",refofpositions[i,1],sep="")
    result_from_httr<-GET(query8, timeout(1*3600))
    jsonDoc <- fromJSON(content(result_from_httr, as="text"))
 
    daterecord<-as.POSIXct(jsonDoc$date_last_harvested/1000, origin="1970-01-01")#origin="1970-01-01")
    if (length(daterecord)==0)
      daterecord=""
    abstractst<-jsonDoc$abstract_str
 
    if (length(jsonDoc$abstract_str)==0)
      jsonDoc$abstract_str=""
 
    if (length(jsonDoc$id)==0)
      jsonDoc$id=""
 
    if (length(jsonDoc$fullname)==0)
      jsonDoc$fullname=""
 
    if (length(jsonDoc$temporalscope)==0)
      jsonDoc$temporalscope=""
 
 
    row<-data.frame(resource_id = jsonDoc$id, resfullname=jsonDoc$fullname, digirname=jsonDoc$digirname, abstract=jsonDoc$abstract_str,temporalscope=jsonDoc$temporalscope,date_last_harvested=daterecord)
 
    resnames_res2 <- rbind(resnames_res2, row) 
  }
 
  resnames2<-sqldf(paste("select distinct position as position_id, resfullname, digirname, abstract, temporalscope, date_last_harvested from (select * from all_cells_table where position in (",positions2,")) as a inner join resnames_res2 as b on a.resource_id=b.resource_id"),drv="SQLite")
  resnames<-sqldf("select * from resnames2 order by position_id",drv="SQLite")
  pres_abs_cells<-sqldf("select * from pres_abs_cells2 order by position_id",drv="SQLite")
  rm(all_cells_table)
  ######END REST CALL
 
  #sorting data df
  #  pres_abs_cells<-pres_abs_cells[with(pres_abs_cells, order(position_id)), ]
  nrows = nrow(pres_abs_cells)
  ######## FIRST Loop inside the rows of the dataset
  cat("Looping on the data\n")
  for(i in 1: nrows) {
    lat<-pres_abs_cells[i,1]
    long<-pres_abs_cells[i,2]
    value<-pres_abs_cells[i,3]
    resource_name<-paste("\"",paste(as.character(t(resnames[i,])),collapse="\",\""),"\"",sep="")#resnames[i,2]
    k=round((lat+90)*n/180)
    g=round((long+180)*m/360)
    if (k==0) k=1;
    if (g==0) g=1;
    if (k>n || g>m)
      next;
    if (value>=1){
      if (grid[k,g]==0){
        grid[k,g]=1
        gridInfo[k,g]=resource_name
      }
      else if (grid[k,g]==-1){
        grid[k,g]=-2
        gridInfo[k,g]=resource_name
      }
    }
    else if (value==0){
      if (grid[k,g]==0){
        grid[k,g]=-1
        #cat("resource abs",resource_name,"\n")
        gridInfo[k,g]=resource_name
      }
      else if (grid[k,g]==1){
        grid[k,g]=-2
        gridInfo[k,g]=resource_name
      }
 
    }
  }
  cat("End looping\n")
 
  cat("Generating image\n")
  absence_cells<-which(grid==-1,arr.ind=TRUE)
  presence_cells_idx<-which(grid==1,arr.ind=TRUE)
  latAbs<-((absence_cells[,1]*180)/n)-90
  longAbs<-((absence_cells[,2]*360)/m)-180
  latPres<-((presence_cells_idx[,1]*180)/n)-90
  longPres<-((presence_cells_idx[,2]*360)/m)-180
  resource_abs<-gridInfo[absence_cells]
  rm(gridInfo)
  rm(grid)
  absPoints <- cbind(longAbs, latAbs)
  absPointsData <- cbind(longAbs, latAbs,resource_abs)
 
  if (length(absPoints)==0)
  {
    cat("WARNING no viable point found for ",sp," after processing!\n")
    next;
  }
  data(wrld_simpl)
  projection(wrld_simpl) <- CRS("+proj=longlat")
  png(filename=outputimage, width=1200, height=600)
  plot(wrld_simpl, xlim=c(-180, 180), ylim=c(-90, 90), axes=TRUE, col="black")
  box()
  pts <- SpatialPoints(absPoints,proj4string=CRS(proj4string(wrld_simpl)))
 
  ## Find which points do not fall over land
  cat("Retreiving the poing that do not fall on land\n")
  pts<-pts[which(is.na(over(pts, wrld_simpl)$FIPS))]
  points(pts, col="green", pch=1, cex=0.50)
  datapts<-as.data.frame(pts)
  colnames(datapts) <- c("longAbs","latAbs")
 
  abspointstable<-merge(datapts, absPointsData, by.x= c("longAbs","latAbs"), by.y=c("longAbs","latAbs"),all.x=F)
 
 
  header<-"longitude,latitude,resource_id,resource_name,resource_identifier,resource_abstract,resource_temporalscope,resource_last_harvested_date"
  write.table(header,file=outputfileAbs,append=F,row.names=F,quote=F,col.names=F)
 
  write.table(abspointstable,file=outputfileAbs,append=T,row.names=F,quote=F,col.names=F,sep=",")
  files[f]<-outputfileAbs
  cat("Elapsed:  created imaged in ",Sys.time()-t1," sec \n")
  graphics.off()
}
 
# wps.out: id = zipOutput, type = text/zip, title = zip file containing absence records and images;
zipOutput<-"absences.zip"
zip(zipOutput, files=c("./data"), flags= "-r9X", extras = "",zip = Sys.getenv("R_ZIPCMD", "zip"))
 
cat("Closing database connection")
cat("Elapsed:  overall process finished in ",Sys.time()-t0," min \n")
#dbDisconnect(con)
graphics.off()

File:AbsencesSpeciesList prod annotated.zip

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