azimuth | A Shiny web app for mapping datasets using Seurat v4 | Genomics library

I founded a very interesting code that allows to combine two differents charts.

I would like to do the same with two polar charts to permit multiple scale, but there is no renderer as line and shape or bar. Is there nevertheless a way to do that ?

The aim is to plot to series with big dynamic difference like distance & site of laser shoots for each azimuth, something like that:

CombineBarAndLineChartExample:

I have three 1D arrays, which represent radius, height, and an intensity measured at that point. I have plotted these to create a 2D contour map. A simple example of the way in which the data is stored is below:

PREFACE My error is a simple "Mathematical operation applied to non-numeric argument" error, but I think this arise from how I create a suite of user defined functions and use them within the terra::app() function. I am going to describe the full workflow to elucidate what I am after, so please bare with me.

ISSUE I am trying to apply a statistical-empirical topographic correction to Sentinel 2A data in R. To apply the topographic correction, I have appended rasters of solar azimuth, solar zenith, and slope and aspect to the multiband scene. I am first taking a random sample of each band within a scene to get its intensity value as well as the corresponding solar zenith, aspect, and slope values. From there, I calculate the cosine of the solar incident angle for each sampled cell using the zenith, azimuth, slope and aspect using a user-define function. Then, I run a linear regression between the cosine of solar incident angle and the respective intensity value for each band. I then apply a user-defined function that calls the solar incident function above using the terra::app() function to finalize the topographic information from these linear regressions. This works on one core just fine with fake data, but is painfully slow with real Sentinel data, so I want it to work on multiple cores. When I try to run on multiple cores I get the error:

I have the following XML returned by an API:

I got a HDF5 file from MOSDAC website named 3DIMG_30MAR2018_0000_L1B_STD.h5 and I'm tying to read the this file and visualize the TIR and VIS dataset in the file in map. Since I am new to programming I don't have much idea how to do this for a specific location on the global data using the Latitude and longitude values. My problem statement is to show data for Indian region.

The coding I have done till now:

I am attempting to create a simple SVG animation using SVG.js. My desired result would be equivalent to:

I am trying to develop a custom tool which will allow the user to select a line and they will be given the slope distance, azimuth and zenith angle of the line. A small table with all that info will then appear on their screen.

I currently have a little bit of code written which you can see below:

When I run the following Python file

I followed this excellent guide by Adam Symington and successfully created the following topographic map of Sabah (a state in Malaysia, which is a Southeast Asian nation). The awkward blob of black in the upper left corner is my attempt to plot certain coordinates on the map.

I would like to improve this diagram in the following ways:

EDIT: I have figured item (1) out and posted the solution below. (2) and (3) pending.

1. [SOLVED] The sch dataframe contains coordinates of all schools in the state. I would like to plot these on the map. I suspect that it is currently going wonky because the axes are not "geo-axes" (meaning, not using lat/lon scales) - you can confirm this by setting ax.axis('on'). How do I get around this? [SOLVED]

2. I'd like to set the portion outside the actual territory to white. Calling ax.set_facecolor('white') isn't working. I know that the specific thing setting it to grey is the ax.imshow(hillshade, cmap='Greys', alpha=0.3) line (because changing the cmap changes the background); I just don't know how to alter it while keeping the color within the map as grey.

3. If possible, I'd like the outline of the map to be black, but this is just pedantic.

All code to reproduce the diagram above is below. The downloadSrc function gets and saves the dependencies (a 5.7MB binary file containing the topographic data and a 0.05MB csv containing the coordinates of points to plot) in a local folder; you need only run that once.