DATA & FILE OVERVIEW

all_lr_results.csv		Contains results from regression analysis of simulated occurrences, including regression coefficients and Moran's I Correlograms
landscape_metrics75.csv		Landscape metrics calulated on landscapes with high suitability patches (suitability > 75)
landscape_metrics85.csv		Landscape metrics calulated on landscapes with high suitability patches (suitability > 85)
patch_measures75.csv		Individual patch metrics for each patch in each landscape using high suitability patches (suitability >75)
patch_measures85.csv		Individual patch metrics for each patch in each landscape using high suitability patches (suitability >85)
raw_structure.csv		Empirical measurements of species response to suitability


DATA-SPECIFIC INFORMATION FOR: all_lr_results.csv

1. Number of variables: 26

2. Number of cases/rows: 6000

3. Variable List: 

id: row identifier
ls: Landscape type
lsrep: Replicate number within each landscape type
species: Virtual species type
sim: Legacy variable no long relevant
simrep: Simulation replicate number
sX: s5-s50 are results of Moran's I correlogram. Each number corresponds to lag distance (e.g. s5 = 0-5 cells, s10 = 5-10 cells)
int: Intercept of logistic regression
int_se: Standard error of intercept coefficient
int_z: Z value of intercept coefficient
int_p: P value of intercept coefficient
suit: Logistic regression coefficient of suitability variable
suit_se: Standard error of suitability coefficient
suit_z: Z value of suitability coefficient
suit_p: P value of suitability coefficient
null_dev: Null deviance of logistic regression model
deviance: Deviance explained by logistic regression model

4. Missing data codes: 
NA

5. Specialized formats or other abbreviations used:
NA

DATA-SPECIFIC INFORMATION FOR: landscape_metricsXX.csv
See R package landscapemetrics to get more information on landscape metrics listed here as variables

1. Number of variables: 21

2. Number of cases/rows: 50

3. Variable List: 

id: Landscape identifier
lc: Landscape type
ls: Landscape identifier
area_mn: Mean patch area
area_sd: Standard deviation of patch area
area_cv: Coefficient of variation of patch area
total_area: Total patch area
core_mn: Mean core patch area
core_sd: Standard deviation of core patch area
core_cv: Coefficient of variation of core patch area
total_core: Total core patch area
para_mn: Mean patch perimeter-area ratio
para_sd: Standard deviation of patch perimeter-area ratio
para_cv: Coefficient of variation of patch perimeter-area ratio
con_mn: Mean patch contiguity metric
con_sd: Standard deviation of patch contiguity metric
con_cv: Coefficient of variation of patch contiguity metric
lpi: Largest patch index
lsi: Landscape shape index
cohesion: Cohesion metric
prop: Proportion of landscape that is considered a patch


4. Missing data codes: 
NA

5. Specialized formats or other abbreviations used:
NA

DATA-SPECIFIC INFORMATION FOR: patches_measuresXX.csv
See R package landscapemetrics to get more information on landscape metrics listed here as variables

1. Number of variables: 17

2. Number of cases/rows: 

3. Variable List: 

id: Row identifier
patch_id: Individual patch ID within a landscape
ls: Landscape identifier
lr: Landcape replicate number
sim: Simulation type (redundant)
rep: Simulation replicate
species: Virtual species type
abun_sum: Total abundance within patch
pa_count: Number of colonised cells within patch
area: Patch area
core_area: Patch core area
contig: Patch contiguity metric
perim: Patch perimeter
enn: Patch nearest neighbour
frac: Patch fractal dimension index
mean: Mean suitability value
sd: Standard error of suitability values

4. Missing data codes: 
NA present when patch size == 1 cell for SD variable

5. Specialized formats or other abbreviations used:
NA

DATA-SPECIFIC INFORMATION FOR: raw_structure.csv

1. Number of variables: 10

2. Number of cases/rows: 

3. Variable List: 

id: Row identifier
patch_id: Individual patch ID within a landscape
ls: Landscape identifier
lr: Landcape replicate number
rep: Simulation replicate
species: Virtual species type
break_pt: ID of break points along suitability gradient. Ranges 1-20, corresponds to 0-1 suitability range.
abun_sum: Total abundance of all cells within the range of the corresponding break point
pa_count: Total number of cells occupied within the range of the corresponding break point
pa_prop: Proportion of cells within the break point range that are occupied


4. Missing data codes: 
NA present when patch size == 1 cell for SD variable

5. Specialized formats or other abbreviations used:
NA