lcc | LOLCODE compiler | Compiler library

I'm working on a habitat occupancy prediction encompassing the entire state of Wyoming. Certain site covariate rasters work in the prediction while others with matched resolution, extent, etc. do not.

A short reproduceable example of my code is below. After extensive troubleshooting I've found I have 3 rasters of the 5 I need to use that cause this script to fail, all with the same error. I'm assuming my rasters have somehow become corrupted(?) but wanted to see if anyone has another idea on what could be happening.

Data is at this link. The data is the unmarked object (saved as .rds) and 2 very small clips off of: 1. the raster that works, and 2. one of the rasters that does not work

I am using PostgresQL and I am able to run the following statement:

I'm trying to import the most common Library of Congress identifier for a list of books using Google Sheets. The XML file for the ISBN is http://classify.oclc.org/classify2/Classify?isbn=1433528525&summary=true. XML is pasted below for ease. I want to get lcc/mostPopular[@nsfa] but the formula =importxml("http://classify.oclc.org/classify2/Classify?isbn=1433528525&summary=true","lcc/mostPopular[@nsfa]") returns "Imported content is empty."

Am I entering the xpath_query wrong?

I know the link is valid because I can import the whole thing with =importdata("http://classify.oclc.org/classify2/Classify?isbn=1433528525&summary=true"), but that gives a garbled mess of data in the spreadsheet.

I am not an expert with maps and coordinate systems. I need to convert longitude and latitude coordinates into LCC (Lambert conformal conic projection). I have a list of city coordinates that I need to plot in a map. The problem is that the projection of the map is "+proj=lcc +lat_1=43 +lat_2=62 +lat_0=30 +lon_0=10 +x_0=0 +y_0=0 +ellps=intl +units=m +no_defs".

What can I do so that the longitude and latitude coordinates are converted into the projection of the map?

Below a tibble with the cities and the coordinates:

I'm trying to write a code that should give me a summary of the data provided. However, there are few problems I'm facing right now.

When I use the groupby function, I get the following output.

I want the output to give me a sorted result. For example, the Airport with the highest "SkyTeam" Customer appear at the top. I've written some parts of the code but couldn't find a way to connect them.

jsFiddle is given here: here

I am new to Open Layers 6 and I am trying to display Vector tile data on a map based, more or less, on the example given in the Open Layers workshop.

The URL for the vector tile source supplied in the above example code was not working so I am using the Vector Tile Source described in this page. There I read that the source is defined using using the RGF93 / Lambert-93 (EPSG:2154) coordinate system and then, using Google, I found that coordinate system's definition and bounds on this page.

In the code that follows I am using the projection's definition and the projected bounds from that last link.

Even though data do appear on the map, they appear only on the farthest left side of the screen and only at zoom level 2 as shown below:

If I change the zoom level, nothing is plotted on the screen.

The code is given below (see also link to JsFiddle above):

I have a table with all the consumptions made by the hosts at an hotel, wich has a date and a "cleaning-lady" associated. Let's assume I want the amount of days there were no records made by the cleaning lady in a certain month.

How can I do that?

Schema:

I have the following Makefile which works fine but is not very elegant.

I'm new to networkx and pyplot and I was just wondering how I would go about plotting a distribution of a local clustering coefficient. Plotting a degree distribution was more straightforward since the degree_histogram function does it for you, but with this I'm not sure what to do.