output_fileformats.md

Formats of output files written in /DISPLACE_outputs

Path: ~/ibm_vessels/DISPLACE_outputs/(basepath)/(basename)/

vmslike_*.dat

tstep / name / tstep_dep / x / y / course / cum_fuel / state

vmslikefpingsonly_*.dat

tstep / vessel name / start trip tstep / lon / lat/nodeid / course / cumfuelcons/ pop / catches (i.e. landings+ discards, in weight) szgroup 0 / szgroup 1 /... / 13

popstats_*.dat

tstep / stock/ N at szgroup (in thousands, for 14 szgrp)/ W at szgroup / SSB at size group N are in thousands of individuals, W and SSB are in kg

popdyn_annual_indic_*.dat

tstep / stock / oth mult / cpue mult / fbar / tot landings / tot discards / SSB / N at age / F at age /W at age / M at age

benthosnodes_tot_biomasses_.dat or benthosnodes_tot_numbers_.dat

Func gr id/ tstep / node / long / lat / number this func group id /biomass this func group id/ mean weight this func group id / benthosbiomassoverK / benthosnumberoverK /benthos_tot_biomass_K this funcgr

popnodes_start_*.dat

tstep / node / long / lat / tot N sp0 / tot W sp0/ tot N sp1 / tot W sp1...

popnodes_inc_*.dat

tstep / node / long / lat / tot N sp0 / tot W sp0/ tot N sp1 / tot W sp1...

popnodes_impact_*.dat

pop / tstep / node_idx / long / lat / impact_on_pop

popnodes_cumulcatches_per_pop_*.dat

pop / tstep / node_idx / long / lat / cumcatches (actually landings)

popnodes_cumftime_*.dat

tstep / node / long / lat / cumftime

popnodes_cumsweptarea_*.dat

tstep / node / long / lat / cumsweptarea / subsurfacecumsweptarea

popnodes_cumcatches_*.dat

tstep / node_idx / long / lat / cumcatches (landings only; unless discard ban)

popnodes_cumdiscards_*.dat

tstep / node_idx / long / lat / cumdiscards

popnodes_cumcatches_with_threshold_*.dat

tstep / node_idx / long / lat / cumcatches / threshold in percent

popnodes_tariffs_*.dat

tstep / node / long / lat / tariffs

tripcatchesperszgroup_*.dat

tstep / vessel name / departure tstep / popid / catches (landings only; unless discard ban) szgroup 0 / szgroup 1 /... / 13

export_individual_tac_*.dat

tstep / vesselid / pop / a remaining quota this pop / amount discarded if remaining is 0

loglike_*.dat

0 tstep_dep 1 tstep Current tstep 2 reason_to_go_back 3 cum_steam 4 loc->nodeidx (Harbour?) 5 idx 6 name 7 timeatsea 8 cumfulecons 9 travel_dist_this_trip 10xN cumul sz per pop(1..N) (i.e. landings only!) freq_metiers revenue revenue_from_av_prices revenue_explicit_from_av_prices fuelcost gav gav2 // gav handling energy cost only sweptarea // from EU FP7 BENTHIS parameterisation revenuepersweptarea GVA // gva handling all costs (but need a deeper parameterisation) GVAPerRevenue LabourSurplus GrossProfit NetProfit NetProfitMargin GVAPerFTE RoFTA BER CRBER NetPresentValue numTrips

e.g. adding headers in R to the loglike data table: colnames (loglike) <- c('tstep_dep', 'tstep_arr', 'reason_back','cumsteaming', 'idx_node', 'idx_vessel', 'VE_REF', 'timeatsea', 'fuelcons', 'traveled_dist', paste('pop.', 0:(general$nbpops-1), sep=''), "freq_metiers", "revenue", "rev_from_av_prices", "rev_explicit_from_av_prices", "fuelcost", "vpuf", "gav", "gradva", "sweptr", "revpersweptarea", paste('disc.', explicit_pops, sep=''), "GVA", "GVAPerRevenue", "LabourSurplus", "GrossProfit", "NetProfit", "NetProfitMargin", "GVAPerFTE", "RoFTA", "BER", "CRBER", "NetPresentValue", "numTrips")

fishfarmlogs_*.dat

tstep / node / long / lat / farmtype / farmid / meanw_kg / fish_harvested_kg / eggs_harvested_kg / fishfarm_annualprofit /

shipslogs_*.dat

tstep / node / long / lat /shiptype / shipid / nb_units / fuel_use_h / NOx_emission_gperkW / SOx_emission_percentpertotalfuelmass / GHG_emission_gperkW / PME_emission_gperkW / fuel_use_litre / NOx_emission / SOx_emission / GHG_emissions / PME_emission

windmillslogs_*.dat

tstep / node / long / lat / windfarmtype / windfarmid / kWh / kW_production

lst_loglike_weight_agg_sce*.RData (obtained with postprocessing R routines)

year.month / pop.0/ pop.1/ pop.2 /…/ disc.0/disc.1/disc.2/…/effort/cumsteaming/nbtrip/bwtrip/fuelcons/ revenue/rev_from_av_prices/sweptr/revpersweptarea/fuelcost/gav/gradva/totland/totland_explicit/ totland_implicit/rev_explicit_from_av_prices /av_effort/av_bwtrip/traveled_dist/ vpuf/vapuf/ disc_rate_0 disc_rate_1/disc_rate_2/…/av_vapuf_month

average_cumftime_layer.txt (obtained with postprocessing R routines)

etc.

(name of the app)_simu1_out.db

A SQlite database gathers several tables (including the data in listed text files above) which can be read by DISPLACE itself, or scrutinized with a SQL Browser e.g. the "DB Browser for SQlite" software