![]() ![]() In case object from Layer B intersect object in Layer A insignificantly, let's say less than 1 meter, I don't need to count its owner into this county. But I realized that I need to "reduce accuracy". I think I have built a correct workbench using Spatial Relator transformer and list attributes. Task: I need to perform spatial intersection of 2 layers and create a report: List all counties which include all owners whose polygons from layer B intersect particular county. Objects in this layer belong to different owners. Polygon Layer B with areas of the random shape that may intersect or fall inside of the counties in layer A. Input info: Polygon layer A with counties. ![]() Mariya Savchenko Asks: FME - SpatialRelator Transformer SettingsĬould you help to validate and adjust my FME workbench, please? Can I use the qgis python interpreter to run the code I have automatically? What method would you recommend? I have investigated using an HTML or a dynamic SVG image. This all happens outside of QGIS on different python installation. In this method I read the geopackage file into a geopandas dataframe, filter it to match the data shown in the figure, and produce the figure using a python package. In my situation it is the windrose in blue shown in the figure below.Ĭurrently, I have a Python script that creates the figure. aggregate distribution) for the subset of the data shown in a particular figure. I am generating a bunch of figures with the layout tool and would like to include a figure on statistics (e.g. I have a large point vector dataset, each point has a variable has many variables. However, when I run the code, I get an error on the call c_ain_on_batch(X_real, y_real).ĭamiel Asks: QGIS add statistical figure on data shown in printlayout X = self.cnn1(input_tensor, training=training) Kernel_initializer=w_init, kernel_constraint=const)ĭef call(self, input_tensor, training=False):ĭef call(self, input_tensor, training=False, mask=None): nv = layers.Conv2D(channels, kernel_size, strides=(2, 2), padding="same", W_init = initializers.RandomNormal(stddev=0.02) Def _init_(self, channels, kernel_size=(4, 4)): ![]()
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