# Batch landscape simulation Runs a series of simulations, using `iterate.graph`, allows changing the simulations parameters in several sequential simulations. ```r manage_landscape_sim(par_df, parameters_spom, full.output) ``` ## Arguments - `par_df`: Arguments data frame to be used by iterate.graph (each row of this data frame is a set of Arguments). The data frame has to have the following columns in this order (the name of the column is not relevant): * MDST - Minimum inter-patch distance (in meters). * NPATCH - Number of patches in the landscape. * AREA_M - Mean area of the patches (in hectares). * AREA_SD - SD of the patches' area. * MAPSIZE - Landscape mosaic side length (in meters). * SPAN - Number of time steps in the simulation. * ITER - Number of iterations of the simulation. * PAR1_SPAN - parm1 for the span.graph function. * PAR2_SPAN - parm2 for the span.graph function. * PAR3_SPAN - parm3 for the span.graph function. * PAR4_SPAN - parm4 for the span.graph function. * PAR5_SPAN - parm5 for the span.graph function. * NSEW_SPECIES - Argument nsew for the species.graph function. * PARM_SPECIES - Argument parm for the species.graph function. * METHOD_SPECIES - Argument method for the species.graph function. * KERN - Argument kern for the spom function. * CONN - Argument conn for the spom function. * COLNZ - Argument colnz for the spom function. * EXT - Argument ext for the spom function. * BETA1 - Argument beta1 for the spom function. * B - Argument b for the spom function. * C1 - Argument c1 for the spom function. * C2 - Argument c2 for the spom function. * Z - Argument z for the spom function. * R2 - Argument R for the spom function. * DISPERSAL - Species mean dispersal ability (in meters). * SUCCESSION - Species successional preference (early, mid or late). - `parameters_spom`: Parameters data frame, as given by `parameter.estimate`. - `full.output`: Creates a folder named 'output' to which it saves the full results of the simulations made with the parameters in each row of 'par_df'. It will generate as many objects as the number of rows in this data frame. ## Details For details regarding the arguments see the respective functions. ## Returns Returns a data frame with the parameters used for the simulations and the results (mean occupation, mean number of patches, mean turnover, mean distance and mean area). ## Author(s) Frederico Mestre and Fernando Canovas ## Note Depending on computing capacity, this function can take from several hours to several days to run. ## See Also `rland.graph`, `span.graph`, `species.graph`, `spom` ## Examples ```r #Setup the parameters for each simulation: PAR1_SPAN2 <- rep("ncsd",820)#parameter 1 for the span function PAR2_SPAN2 <- rep(seq(from=0,to=80,by=2), each=20)#parameter 2 for the span function PAR3_SPAN2 <- rep(seq(from=0,to=80,by=2),20)#parameter 3 for the span function PAR4_SPAN2 <- rep(2,820)#parameter 4 for the span function PAR5_SPAN2 <- rep(2,820)#parameter 5 for the span function NSEW_SPECIES2 <- rep("none",820)#where to start populating the landscape PARM_SPECIES2 <- rep(5,820)#parameter for the species function METHOD_SPECIES2 <- rep("percentage",820)#method for populating the landscape MAPSIZE2 <- rep(10000,820)#dimension of the landscape SPAN2 <- rep(100,820)#number of time steps of each simulation ITER2 <- rep(5,820)#number of iterations of each simulation NPATCH2 <- rep(800,820)#number of patches AREA_M2 <- rep(0.45,820)#mean area AREA_SD2 <- rep(0.2,820)#area sd MDST2 <- rep(0,820)#minimum distance between KERN <- rep("op1",820)#kernel CONN <- rep("op1",820)#connectivity function COLNZ <- rep("op1",820)#colonization function EXT <- rep("op1",820)#extinction function BETA1 <- rep("NULL",820) B <- rep(1,820) C1 <- rep("NULL",820) C2 <- rep("NULL",820) Z <- rep("NULL",820) R2 <- rep("NULL",820) DISPERSAL2 <- rep(800,820)#mean dispersal ability of the species SUCC <- rep("early",820) #Build parameter data frame (keep the order of the parameters): simulation <- data.frame(MDST2,NPATCH2,AREA_M2,AREA_SD2, MAPSIZE2,SPAN2,ITER2,PAR1_SPAN2,PAR2_SPAN2,PAR3_SPAN2,PAR4_SPAN2,PAR5_SPAN2, NSEW_SPECIES2,PARM_SPECIES2,METHOD_SPECIES2,KERN,CONN,COLNZ,EXT,BETA1,B,C1,C2,Z,R2,DISPERSAL2,SUCC) #Delete vectors used for data frame creation: rm('PAR1_SPAN2','PAR2_SPAN2','PAR3_SPAN2','PAR4_SPAN2','PAR5_SPAN2', 'NSEW_SPECIES2','PARM_SPECIES2','METHOD_SPECIES2','MAPSIZE2','SPAN2','ITER2', 'NPATCH2','AREA_M2','AREA_SD2','MDST2','KERN','CONN','COLNZ','EXT', 'BETA1','B','C1','C2','Z','R2','DISPERSAL2','SUCC') ## Not run: data(param1) ms2 <- manage_landscape_sim(par_df=simulation,parameters_spom=param1) ## End(Not run) ```

manage_landscape_sim function