The styles listed above refer to the palette used in the image you will retrieve. You can see that the ice thickness variable is defined for the latitudes -90° to 90°, the longitudes -79.6546° to 100.3454° and the dates to. Icethickness.Lonlim %show longitude extent icethickness.Latlim %show latitude extent
To obtain more properties on the layer, you can read the documentation. You can access the main characteristics of these data thanks to the following lines. The newly created Matlab variable icethickness we have defined is a WMSlayer object. We have seen with the first line that the 7th layer referred to hice which is sea_ice_thickness according to the second answer. Icethickness = WMSinfo.Layer(7) %define variable from layer 7
WMSinfo.Layer(7).Abstract %display information on layer 7
To explore the layers, follow the lines below: WMSinfo.LayerNames %show the names of the layers It contains many properties you can read about in the documentation but the one we are interested in here is the Layer, that’s where the data are.
#Matlab plot in webmap code#
You can make this more precise by using an unsimplified graph (see OSMnx docs for details).Here's the code that have been used during the presentation: It will draw the edge each time it finds one of its edge types in the dictionary of types:colors. Note that this solution can handle both simplified and unsimplified OSMnx edges (simplified edges can have multiple highway values). G_tmp.remove_edges_from(find_edges(G_tmp, )) # then plot each edge type in hwy_colors one at a time M = ox.plot_graph_folium(G_tmp, popup_attribute='highway', weight=5, color='black') G_tmp.remove_edges_from(G.edges - find_edges(G, hwy_colors.keys())) # first plot all edges that do not appear in hwy_colors's types # return edge IDs that do not match passed list of hwysįor u, v, k, data in G.edges(keys=True, data='highway'):Ĭheck1 = isinstance(data, str) and data not in hwysĬheck2 = isinstance(data, list) and all() # define the colors to use for different edge types G = ox.graph_from_address(address, dist=300)
#Matlab plot in webmap how to#
Could someone provide me with an example of how to make an interactive map with edges of different colors?Īddress = '19, Molstraat, Van Leeuwenhoekkwartier, Delft' This similar question ( stackoverflow) suggests adding a new column to each edge and then modify the plot_graph_folium function. Ox.ot_graph_folium(graph,popup_attribute='highway',edge_color='blue') Ox.ot_graph_folium(graph, popup_attribute='highway',edge_color=ec) Ox.plot_graph(graph,fig_height=8,fig_width=8,node_size=0, edge_color=ec) Graph=ox.graph_from_address(address_name, distance=300)Įc ='footway'Įlse 'paleturquoise' if data='residential'Įlse 'orange' if data='cycleway'Įlse 'sienna' if data='service'Įlse 'lightgreen' if data='living street'Įlse 'grey' if data='secondary'Įlse 'lightskyblue' if data='pedestrian'Įlse 'black' for u, v, key, data in graph.edges(keys=True, data=True)] If I assign to edge_color a list of colors it doesn’t work.Īddress_name='19, Molstraat, Van Leeuwenhoekkwartier, Delft, South Holland, Netherlands, 2611EM, Netherlands' If I use ox.ot_graph_folium() I only get an interactive map if I set all edges to have the same color. It works if I use ox.graph, however, this generates a static map. I’m trying to plot a network where edges have different colors according to their Opens street map attribute (‘highway’).
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