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Wild Boars - Data science project (behavior analysis)

Number of timesthat each boarenters the Fiwisensors area fiwi_final_closest_v1 TelemetrieFiwigatter_Tel.Fiwi TelemetrieJagdgatter_Tel.JG TelemetrieEmpfänger Exploring: groups of animals moving together. In this part the area KPf is analysed. R = 2 boars are the ones with moremovement in this area, therefore they will be analysed together in more details in section below. Exploring if 2 individuals spend the most time in the same areas. R = The 2 individuals compared are a lot of time in 2areas, but not in the rest of them Exploring: groups of animals moving together. In this part the area KPf is analysed. R = 2 boars are the ones with moremovement in this area, therefore they will be analysed together in more details in section below. Exploring if 2 individuals spend the most time in the same areas. R= The 2 individuals compared are a lot of time in severalareas, their plot of ocurrence in the areas is very similar, very likely they are most of the time moving together. Explore the possibility to do classification, to know where 1 specific boar is betwen the 2 areas that he visits the most. Using logistic regression. Preparing a file where the area visited after a being in 1 speciifc area, isshowned. Logistic regression to predict the area where 1 boar will move to, according to the sitme of the day Logistic regression to predict the area where 1 boar will move to, according to the sitme of the day and the amount of time spent in 1 specific area Explore the possibility to do classification, to know where 1 specific boar is betwen the 2 areas that he visits the most. Using logistic regression, with the hour of the day and the amount of time he spends in 1 specific area File only with the rows where the boars go from 1 area to a different area. Path done by 1 boar in 1 day in the hunting area, showing the order of hispath into each area Exploring the places where the boarsmove the most on. 1 plot including NA idvalues, and the other filtering them out.considering tho whole file besides this. with no NA values for ID Plot of all the boars in 1 week and the places where they move, to identify group of individuals moving together Areas where 1 specific boar spends the most time in winter (blue) and in summer (red) Areas where 1 specific boar spends the most of the time during the day and night Initial exploration and handling of data for the behavior analysis Node 4Node 5Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 15Node 16Node 20Node 21Node 22Node 23Node 24Node 26Node 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34Node 35Node 36Node 37Node 38Node 39Node 40Node 41Node 42Node 43Node 44Node 47Node 48Node 49Node 50Node 51Node 53Node 54Node 55Node 56Node 57Node 58Node 59Node 60Node 61Node 62Node 63Node 64Node 65Node 66Node 67Node 68Node 69Node 70Node 71Node 75Node 76Node 77Node 78Node 79Node 80Node 81Node 82Node 83Node 84Node 85Node 86Node 87Node 88Node 89Node 90Node 91Node 92Node 93Node 94Node 95Node 96Node 97Node 98Node 99Node 100Node 101Node 102Node 103Node 104Node 105Node 106Node 107Node 108Node 109Node 110Node 111Node 112Node 113Node 114Node 115Node 116Node 117Node 118Node 119Node 120Node 121Node 122Node 124Node 125Node 127Node 128Node 129Node 130Node 131Node 139Node 141Node 142Node 145Node 147Node 148Node 149Node 150Node 151Node 152Node 153Node 154Node 155Node 156Node 157Node 158Node 159Node 160Node 161Node 162Node 163Node 164Node 165Node 166Node 167Node 168Node 169Node 170Node 171Node 172Node 173Node 174Node 175Node 176Node 181Node 182Node 183Node 184Node 185Node 186Node 188Node 189Node 190Node 191Node 192Node 193Node 194Node 195Node 196Node 197Node 198Node 199Node 200 CSV Reader Histogram Statistics Bar Chart CSV Reader Column Filter Missing Value Statistics Linear Correlation Row Filter Row Filter Cell SplitterBy Position Cell SplitterBy Position Joiner Linear Correlation CSV Reader Bar Chart Linear Correlation Row Filter Bar Chart Histogram Bar Chart CSV Reader Bar Chart Bar Chart Row Filter Histogram Linear Correlation Column Filter Normalizer Partitioning RProp MLP Learner MultiLayerPerceptronPredictor Column Filter Partitioning Scorer Scorer Random Forest Learner(Regression) Random Forest Predictor(Regression) Scorer Row Filter Row Filter Cell SplitterBy Position Bar Chart Row Filter Bar Chart Row Filter Bar Chart Cell SplitterBy Position Row Filter Row Filter Bar Chart Row Filter Row Filter Bar Chart Bar Chart CSV Reader Row Filter Bar Chart Rule-basedRow Filter Cell SplitterBy Position String To Number Double To Int Normalizer Partitioning LogisticRegression Learner Logistic RegressionPredictor Scorer Row Filter Row Filter Joiner Math Formula Math Formula Column Filter Bar Chart Cell SplitterBy Position LogisticRegression Learner String To Number Double To Int Scorer Logistic RegressionPredictor Partitioning Normalizer Row Filter Rule-basedRow Filter LogisticRegression Learner Row Filter Partitioning Cell SplitterBy Position Scorer String To Number Normalizer Bar Chart Double To Int Logistic RegressionPredictor Rule-basedRow Filter Row Filter Normalizer Scorer Double To Int Cell SplitterBy Position String To Number Logistic RegressionPredictor Bar Chart LogisticRegression Learner Partitioning Rule-basedRow Filter Rule-basedRow Filter Row Filter Rule-basedRow Filter Rule-basedRow Filter Row Filter Rule-basedRow Filter Row Filter CSV Reader Bar Chart Rule-basedRow Filter Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Rule-basedRow Filter Cell SplitterBy Position Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Pie/Donut Chart Pie/Donut Chart Rule-basedRow Filter Pie/Donut Chart Bar Chart Cell SplitterBy Position Rule-basedRow Filter Bar Chart Rule-basedRow Filter Pie/Donut Chart Color Manager Color Manager Color Manager Number of timesthat each boarenters the Fiwisensors area fiwi_final_closest_v1 TelemetrieFiwigatter_Tel.Fiwi TelemetrieJagdgatter_Tel.JG TelemetrieEmpfänger Exploring: groups of animals moving together. In this part the area KPf is analysed. R = 2 boars are the ones with moremovement in this area, therefore they will be analysed together in more details in section below. Exploring if 2 individuals spend the most time in the same areas. R = The 2 individuals compared are a lot of time in 2areas, but not in the rest of them Exploring: groups of animals moving together. In this part the area KPf is analysed. R = 2 boars are the ones with moremovement in this area, therefore they will be analysed together in more details in section below. Exploring if 2 individuals spend the most time in the same areas. R= The 2 individuals compared are a lot of time in severalareas, their plot of ocurrence in the areas is very similar, very likely they are most of the time moving together. Explore the possibility to do classification, to know where 1 specific boar is betwen the 2 areas that he visits the most. Using logistic regression. Preparing a file where the area visited after a being in 1 speciifc area, isshowned. Logistic regression to predict the area where 1 boar will move to, according to the sitme of the day Logistic regression to predict the area where 1 boar will move to, according to the sitme of the day and the amount of time spent in 1 specific area Explore the possibility to do classification, to know where 1 specific boar is betwen the 2 areas that he visits the most. Using logistic regression, with the hour of the day and the amount of time he spends in 1 specific area File only with the rows where the boars go from 1 area to a different area. Path done by 1 boar in 1 day in the hunting area, showing the order of hispath into each area Exploring the places where the boarsmove the most on. 1 plot including NA idvalues, and the other filtering them out.considering tho whole file besides this. with no NA values for ID Plot of all the boars in 1 week and the places where they move, to identify group of individuals moving together Areas where 1 specific boar spends the most time in winter (blue) and in summer (red) Areas where 1 specific boar spends the most of the time during the day and night Initial exploration and handling of data for the behavior analysis Node 4Node 5Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 15Node 16Node 20Node 21Node 22Node 23Node 24Node 26Node 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34Node 35Node 36Node 37Node 38Node 39Node 40Node 41Node 42Node 43Node 44Node 47Node 48Node 49Node 50Node 51Node 53Node 54Node 55Node 56Node 57Node 58Node 59Node 60Node 61Node 62Node 63Node 64Node 65Node 66Node 67Node 68Node 69Node 70Node 71Node 75Node 76Node 77Node 78Node 79Node 80Node 81Node 82Node 83Node 84Node 85Node 86Node 87Node 88Node 89Node 90Node 91Node 92Node 93Node 94Node 95Node 96Node 97Node 98Node 99Node 100Node 101Node 102Node 103Node 104Node 105Node 106Node 107Node 108Node 109Node 110Node 111Node 112Node 113Node 114Node 115Node 116Node 117Node 118Node 119Node 120Node 121Node 122Node 124Node 125Node 127Node 128Node 129Node 130Node 131Node 139Node 141Node 142Node 145Node 147Node 148Node 149Node 150Node 151Node 152Node 153Node 154Node 155Node 156Node 157Node 158Node 159Node 160Node 161Node 162Node 163Node 164Node 165Node 166Node 167Node 168Node 169Node 170Node 171Node 172Node 173Node 174Node 175Node 176Node 181Node 182Node 183Node 184Node 185Node 186Node 188Node 189Node 190Node 191Node 192Node 193Node 194Node 195Node 196Node 197Node 198Node 199Node 200CSV Reader Histogram Statistics Bar Chart CSV Reader Column Filter Missing Value Statistics Linear Correlation Row Filter Row Filter Cell SplitterBy Position Cell SplitterBy Position Joiner Linear Correlation CSV Reader Bar Chart Linear Correlation Row Filter Bar Chart Histogram Bar Chart CSV Reader Bar Chart Bar Chart Row Filter Histogram Linear Correlation Column Filter Normalizer Partitioning RProp MLP Learner MultiLayerPerceptronPredictor Column Filter Partitioning Scorer Scorer Random Forest Learner(Regression) Random Forest Predictor(Regression) Scorer Row Filter Row Filter Cell SplitterBy Position Bar Chart Row Filter Bar Chart Row Filter Bar Chart Cell SplitterBy Position Row Filter Row Filter Bar Chart Row Filter Row Filter Bar Chart Bar Chart CSV Reader Row Filter Bar Chart Rule-basedRow Filter Cell SplitterBy Position String To Number Double To Int Normalizer Partitioning LogisticRegression Learner Logistic RegressionPredictor Scorer Row Filter Row Filter Joiner Math Formula Math Formula Column Filter Bar Chart Cell SplitterBy Position LogisticRegression Learner String To Number Double To Int Scorer Logistic RegressionPredictor Partitioning Normalizer Row Filter Rule-basedRow Filter LogisticRegression Learner Row Filter Partitioning Cell SplitterBy Position Scorer String To Number Normalizer Bar Chart Double To Int Logistic RegressionPredictor Rule-basedRow Filter Row Filter Normalizer Scorer Double To Int Cell SplitterBy Position String To Number Logistic RegressionPredictor Bar Chart LogisticRegression Learner Partitioning Rule-basedRow Filter Rule-basedRow Filter Row Filter Rule-basedRow Filter Rule-basedRow Filter Row Filter Rule-basedRow Filter Row Filter CSV Reader Bar Chart Rule-basedRow Filter Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Rule-basedRow Filter Cell SplitterBy Position Bar Chart Rule-basedRow Filter Bar Chart Rule-basedRow Filter Pie/Donut Chart Pie/Donut Chart Rule-basedRow Filter Pie/Donut Chart Bar Chart Cell SplitterBy Position Rule-basedRow Filter Bar Chart Rule-basedRow Filter Pie/Donut Chart Color Manager Color Manager Color Manager

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Created by: serch
Created at: 2022-10-26
On NodePit since: 2023-02-10
Last update: 2024-04-27
Created with KNIME version: v4.5.0

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