I've been building an ABM in NetLogo that takes in a bunch of GIS data (e.g., suburban centres, proximity to CBDs, malls, roads, etc.) and calculates the utility to four agent classes (dp = deprived, li = low-income, mi = mid-income, and hi = high income). I've been typing those weights manually but now I'd like to go through do some sensitivity testing using an external CSV file to set all the weights for all classes (e.g., in Excel). I've looked at this question, the CSV extension docs, and its repo to get my bearings, but what I found most useful was this example. I've written the following code for a load-weight function but coming from my background in Python it looks very inefficient. Any suggestions? extensions [ csv ] globals [ data dp-weight li-weight mi-weight hi-weight dpu-suburb dpu-neigbhour dpu-bu dpu-cbd dpu-mall dpu-markets dpu-road dpu-density dpu-schools dpu-attractive dpu-health dpu-random dpu-water liu-suburb liu-neigbhour liu-bu liu-cbd liu-mall liu-markets liu-road liu-density liu-schools liu-attractive liu-health liu-random liu-water miu-suburb miu-neigbhour miu-bu miu-cbd miu-mall miu-markets miu-road miu-density miu-schools miu-attractive miu-health miu-random miu-water hiu-suburb hiu-neigbhour hiu-bu hiu-cbd hiu-mall hiu-markets hiu-road hiu-density hiu-schools hiu-attractive hiu-health hiu-random hiu-water dp-w-list li-w-list mi-w-list hi-w-list ] to setup clear-all file-close-all ;; Close any files open from last run file-open "../data/interim/weights.csv" ;; a csv formated with a header row and column and integers for the weights set [dp-w-list li-w-list mi-w-list hi-w-list] [[][][][]] reset-ticks end to go load-weights show hiu-water tick end to load-weights ;; code based on https://github.com/NetLogo/models/blob/master/Code%20Examples/Extensions%20Examples/csv/CSV%20Example.nlogo file-close-all ;; Close any open files file-open "../data/interim/weights.csv" set data csv:from-file "../data/interim/weights.csv" set dp-weight item 1 data ;; I skip the first row as it contains only the headers set li-weight item 2 data set mi-weight item 3 data set hi-weight item 4 data let i 0 repeat length dp-weight [ let w item i dp-weight if i > 0 [set dp-w-list lput w dp-w-list] ;; I skip the first column, as it contains the line header (e.g., 'dp') set i i + 1 ] set i 0 repeat length li-weight [ let w item i li-weight if i > 0 [set li-w-list lput w li-w-list] set i i + 1 ] set i 0 repeat length mi-weight [ let w item i mi-weight if i > 0 [set mi-w-list lput w mi-w-list] set i i + 1 ] set i 0 repeat length hi-weight [ let w item i hi-weight if i > 0 [set hi-w-list lput w hi-w-list] set i i + 1 ] set [ dpu-suburb dpu-neigbhour dpu-bu dpu-cbd dpu-mall dpu-markets dpu-road dpu-density dpu-schools dpu-attractive dpu-health dpu-random dpu-water ] dp-w-list set [ liu-suburb liu-neigbhour liu-bu liu-cbd liu-mall liu-markets liu-road liu-density liu-schools liu-attractive liu-health liu-random liu-water ] li-w-list set [ miu-suburb miu-neigbhour miu-bu miu-cbd miu-mall miu-markets miu-road miu-density miu-schools miu-attractive miu-health miu-random miu-water ] mi-w-list set [ hiu-suburb hiu-neigbhour hiu-bu hiu-cbd hiu-mall hiu-markets hiu-road hiu-density hiu-schools hiu-attractive hiu-health hiu-random hiu-water ] hi-w-list file-close ;; Close any open files end Continue reading...
