From 36781d35384b4fe627345162e4a154eb213c760d Mon Sep 17 00:00:00 2001 From: Clemens Schmid Date: Sun, 15 Oct 2023 17:26:58 +0200 Subject: [PATCH] completed the first draft of the whole page - many little ToDos remain to make things more smooth, but the sections are now all complete --- docs/multisearch.md | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/docs/multisearch.md b/docs/multisearch.md index 43023b1..e84cee2 100644 --- a/docs/multisearch.md +++ b/docs/multisearch.md @@ -78,7 +78,7 @@ The origin vector summary can also be applied for individual parameter permutati origin_vectors <- mobest::determine_origin_vectors(search_product, search_time) ``` -The resulting object of type `mobest_originvectors` features one row for each vector with the following variables: +The resulting object of type `mobest_originvectors` features one row for each vector with the following variables. Note that many variables here reflect mean values in this case, as `determine_origin_vectors()` can summarize information across parameter permutations. |Column |Description | |:--------------------|:-----------| @@ -87,24 +87,23 @@ The resulting object of type `mobest_originvectors` features one row for each ve |dependent_var_id |Identifier of the dependent variable| |kernel_setting_id |Identifier of the kernel setting permutation| |pred_grid_id |Identifier of the spatiotemporal prediction grid| -|dsx |Kernel lengthscale parameter on the spatial x axis| -|dsy |Kernel lengthscale parameter on the spatial y axis| -|dt |Kernel lengthscale parameter on the temporal axis| -|g |Kernel nugget parameter| |field_id |Identifier of the spatiotemporal prediction point| |field_x |Spatial x axis coordinate of the prediction point| |field_y |Spatial y axis coordinate of the prediction point| |field_z |Temporal coordinate (age) of the prediction point| |field_geo_id |Identifier of the spatial prediction point| -|field_mean |Mean value predicted by the GPR model for the dependent variable| -|field_sd |Uncertainty predicted by the GPR model for the dependent variable| |search_id |Identifier of the search sample| |search_x |Spatial x axis coordinate of the search sample| |search_y |Spatial y axis coordinate of the search sample| |search_z |Temporal coordinate (age) of the search sample| |search_time |Search time as provided by the user in `locate()`'s `search_time` argument| -|search_measured |Genetic coordinate of the search sample in the dependent variable space| -|probability |Probability density for `search_measured` given all other parameters| +|probability |Probability density calculated in `locate()`| +|ov_x |Length of the origin vector in x direction| +|ov_y |Length of the origin vector in y direction| +|ov_dist |Length of the origin vector in space (Euclidean distance)| +|ov_dist_se |Standard error of the mean of all vector lengths| +|ov_dist_sd |Standard deviation of all vector lengths| +|ov_angle_deg |Direction of the origin vector as an angle in degree (0-360°)| One way of making use of this object is by highlighting the points of maximal similarity probability in the map plot.