QGIS | open source , cross platform | Map library

I have a shapefile of areas/polygons and I'm trying to show that in a choropleth_mapbox in plotly express. What I want to show is only the boundaries/borders. i.e. the fill colour is transparent!

I've been doing something like this:

Issue:

I have a data frame that has 16000 rows, and I am going to use this data to plot a boat track line in QGIS. One of the columns is called ' Course', which is the subsequent number order that the boat went out per field season.

For instance, course 1 ranges from 6/16/17 to 8/13/17. The boat track data frame has five columns for ID, date, time, course, latitude and longitude. These values were recorded every second throughout each day, which generally ranged from 6 am to 6 pm. Therefore, for each field course, there are hundreds of rows. Altogether there are 11 courses over a 5 year time period (2016-2018).

Is there any way that the data can be filtered per row by date to input a repeating number such as the value '2' (course 2) in the 'Course' column for the dates 8/14/17 to 10/16/17, and the repeating value of '3' (course 3) for the dates of 10/17/17 to 03/01/18, and so forth?

Unfortunately, I cannot share my data and I cannot find public any data that resembles my data frame that I can supply for this question using the function dput().

I have been using packages such as dplyr and tidyverse to try to solve this conundrum and I have so far been unsuccessful in finding a solution.

Would anyone be able to help?

Many thanks in advance.

I am trying to create several .qgs project files to be served at a later time by an instance of qgis Server. To this end I need to start a new PyQGIS application several times upon request. The application runs smoothly the first time it is called, but if I try to run it a second time I get a Segmentation Fault error.

Here is an example code that triggers the problem:

I used osmnx to download a map and export as geopackages so that I can edit it in QGIS. After edit(mainly change CRS to GCJ-02） , I want to import the edited edges and nodes into osmnx as a graph to do some routing.

I imported them using

I have a shape file that I can read like this in R:

I'm currently storing a lot of data on a Azure SQL for Postgres instance. My table consists of columns like lat, lon, and geometry which is created using PostGis function

I've been incorporating the MarketCluster and the associated FeatureGroup.SubGroup plug ins from Leaflet to add additional functionality to my generated QGIS2web map.

Part of my requirements is toggleable layers and where MarkerCluster works well when I had categorized layers from QGIS that were automatically clustered with separate layers this is no longer the case. To my understanding I needed either MarkerCluster.LayerSupport or FeatureGroup.SubGroup plugins to handle the additional layers and still provide clustering.

I've incorporated the CSS from MarkerCluster, JS from MarkerCluster and SubGroup, as well as called it in the map and in the respective places but the icons aren't actually clustering - image below.

The bottom 3 layers are all under the parent group mcg and all have been added to the map and called under the plugin so I'm not too sure why they are not clustering at small scales?

Var map code:

I have nine raster layers (.tif) and each needs to have the same extent, resolution and CRS in order to work in Maxent. I have tried converting each layer to the same CRS and translating them to .asc format in QGIS. After that I tried to resample the layers in R to match one of the layers, but this resulted in errors, such as that the extents do not overlap. My question is how do I match all these layers in order to proceed with Maxent and also to use the 'stack' function in R?

Here is the zip-file with the rasters: https://drive.google.com/file/d/1lle95SPdQ7FyQSbFoFvmAzyuO2HUt7-L/view?usp=sharing

I am having trouble getting raster data in R from the ArcGIS REST API. It is located at the endpoint https://maps.vcgi.vermont.gov/arcgis/rest/services/EGC_service/IMG_VCGI_LIDARNDSM_WM_CACHE_v1/ImageServer and I want to fetch just the data for my area of interest. I can successfully load the data in QGIS as a web coverage service using the url "https://maps.vcgi.vermont.gov/arcgis/services/EGC_services/IMG_VCGI_LIDARNDSM_WM_CACHE_v1/ImageServer/WCSServer", but want something I can turn into a raster layer or raster brick in R.

I would prefer a high-level method and have tried the arcpullr package, using an sf polygon object of my area of interest to define the bounding box (aoi in the code below, which is a simple feature collection with 1 feature and 1 field; Bounding box: xmin: 499682.2 ymin: 208467.7 xmax: 503271.3 ymax: 212056.7; Projected CRS: NAD83 / Vermont, 32145). This returns an empty raster brick (all values are NA) in the correct location: