![]() Var $grid = document.querySelector('.row') ![]() This will guarantee that the layout will be adjusted after all the images are loaded. Call layout function after each image is loadedĪnother approach is to call layout after each image is loaded. The users can observe that block D jumps around between the second and the third columns while the image is being loaded. The result looks like the following screenshot: The above code snippet calls layout function 4 times. For example, a user with very slow internet speed might still notice the overlaps. The drawback of this approach is also obvious - you won't know when exactly the images will be loaded and different users may have different experience. The expectation is that if you call it multiple times the images will be loaded eventually. There are several ways to address this issue: Delay Masonry function callsĪ typical solution many people provides is to delay Masonry function calls via setTimeout function. īlock B is overlapping with others as the image is asynchronously loaded. However if we change the above card B with an image, you may find something unexpected. It's quite straightforward when using Masonry with text cards. The rendered page is same as the example using data attribute. To implement that, simply add the following initialization after the Ajax call success handlers. For example, displaying cards after calling APIs via Ajax. In some scenarios, you may want to dynamically call Masonry APIs to adjust the layout. Refresh the page and it now looks like the following screenshot: row class slightly to add data attributes like the following: We just need to change the div element with. The previous example already includes reference to Masonry JavaScript library. The easiest way is to use data attributes. Now let's use Masonry to adjust the layout. There are many gaps as the blocks or cards are different in size. The page looks like the following screenshot: The following example just uses Bootstrap 5 responsive grid: I didn't notice that until I was half way already. Ridout & Linkie (2009) Estimating overlap of daily activity patterns from camera trap data.InfoPlease ignore the English grammar error in the examples. Mike Meredith, including code by Martin Ridout. It may return a matrix of NAs if smooth = TRUE and bandwidth estimation fails.įunction bootEst with type = "all" returns a numeric matrix with three columns, one for each estimator of overlap, otherwise a vector of bootstrap estimates. The function resample returns a numeric matrix with each column corresponding to a bootstrap sample. If estimation fails for a bootstrap sample, the corresponding value will be NA. The function bootstrap returns a vector of bootstrap estimates. Matrices of resampled data for each species produced by resample see Value below. Parallel processing may take longer than serial processing if the bootstrap runs quickly.Ī numeric vector of time-of-capture data in radians, ie. If NA, all but one of the available cores will used. The number of cores to use for parallel processing. See overlapEst for recommendations on which to use. The name of the estimator to use, or "all" to produce all three estimates. Number of points at which to estimate density for comparison between species smaller values give lower precision but run faster in bootstraps. If adjust=NA in bootstrap, adjust will be set to 0.8 for type="Dhat1", 1 for type="Dhat4" and 4 for type="Dhat5". Maximum value of k for optimal bandwidth estimation.īandwidth adjustment. If TRUE, smoothed bootstrap samples are produced. ![]() Vectors of times of observations of two different species in radians, ie. ![]() Bootstrap ( A, B, nb, smooth = TRUE, kmax = 3, adjust = NA, n.grid = 128, type = c ( "Dhat1", "Dhat4", "Dhat5" ), cores = 1 ) resample ( x, nb, smooth = TRUE, kmax = 3, adjust = 1, n.grid = 512 ) bootEst ( Amat, Bmat, kmax = 3, adjust = c ( 0.8, 1, 4 ), n.grid = 128, type = c ( "all", "Dhat1", "Dhat4", "Dhat5" ), cores = 1 )
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