terrestrial | Persists | Object-Relational Mapping library
kandi X-RAY | terrestrial Summary
kandi X-RAY | terrestrial Summary
A data mapper ORM for Ruby. Persists POROs, enables DDD and fast tests. Makes your objects less alien.
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Top functions reviewed by kandi - BETA
- Iterate through each record in a collection
- Creates a new instance .
- Loads associations for a given association .
- Returns the string representation of this object .
- Loads an association .
- Return an array of objects from the cache
- Loads a collection of collections in the collection .
- Serializes object .
- Dump associations for each record
- Returns the configuration object for this database .
terrestrial Key Features
terrestrial Examples and Code Snippets
Community Discussions
Trending Discussions on terrestrial
QUESTION
I would like to convert NCBI's Biosample Metadata XML file to CSV, or RDF/XML as a second choice. To do that, I believe I have to learn more about the structure of this file. I can run basic XQueries in BaseX*, like just listing all values, but then I've been using shell tools like
sort|uniq -c
to count them. I have heard about XSLT
transformations and GRDDL
in passing, but I don't think a style sheet is provided for this XML document, and I don't know how to create or discover one.
For example, can I get a count of the number of s for each ? Are there any
with more than one primary
? What are the most common db attributes of the primary Ids?
Here's a query that shows my maximum level of XQuery sophistication at this point:
...ANSWER
Answered 2021-Jun-06 at 17:58similar to my answer for https://www.biostars.org/p/280581/ using my tool xsltstream:
QUESTION
ANSWER
Answered 2021-May-22 at 00:17First, you'll want to get the n_largest
values for the porcentage de ganancia
column.
QUESTION
Is there a way to export a *.las point cloud in R to a orthomosaic? I loaded my las-file containing the points with the package lidR. I want to export a tif which shows the point cloud from above in RGB, similar to what an orthophoto would look like. The data was collected using a terrestrial laser scanner.
...ANSWER
Answered 2021-Mar-29 at 12:29Okay, so I figured out how to do it, although it's not very elegant:
QUESTION
First of all, I must say I'm on Elasticsearch 5.6.16
I'm trying to figuring out what's happening here. I have several documents indexed with this mapping (I copied the document directly from Kibana):
...ANSWER
Answered 2021-Apr-29 at 11:14Since adminZoneLevelOne
is of nested type, you need to use exists query along with the nested query as
QUESTION
I have a list of tuple like this: List ws= new List>();
I get output like this:
...ANSWER
Answered 2021-Apr-20 at 21:12You can do this:
QUESTION
I am trying model a zoo.
Suppose I have the following structure for areas in the Zoo(omitted some details)
...ANSWER
Answered 2021-Apr-17 at 10:53I would use enums. You don't need all of those if statements.
Just have the attribute type
in both Animal
and AnimalHabitat
and then compare them.
QUESTION
I get a JSON String as a result from an API that looks like this:
...ANSWER
Answered 2021-Feb-06 at 20:46It's a bit of a hack, but if you know there will always only be one pageid (or if you'll always want the first one), you can use Object.values:
QUESTION
I am working exclusively on the terra
package.
spatRaster details: Carbon flux data of South America (~500 GB)
spatVector details: Protected Areas database of South America (~70 MB)
Goal: To compute zonal statistics
Error: While performing zonal statistics operation, the extents do not overlap.
Possible reason for error: Raster files have only the terrestrial extent. Polygons, however, extend up to marine regions, thus have terrestrial, marine, and terrestrial-marine combined extents.
Question: Is it possible to extend the raster file up to the extent of Polygon without losing any values for this much large file? Is there any efficient way to solve this kind of problem?
PS: I am new here, and if anyone finds out that the similar question is answered already, please help me out. I am sorry that I couldn’t make a reproducible example for this problem.
...ANSWER
Answered 2021-Apr-09 at 20:18There is no "'SpatRaster,SpatVector" method for zonal, so your question has no answer. I assume you use rasterize first and make a mistake there. As for all R questions, you should have included a minimal, self-contained reproducible example, like the below that suggests that there is no need to do what you think you need to do
QUESTION
I have two associative arrays, one is called $events and one is called $wikipedia.
I want an efficient way to join "extract" and "thumbnail" from $wikipedia to $events where "name" in $events matches "title" in $wikipedia.
Original $events
ANSWER
Answered 2021-Feb-09 at 20:13There is a more efficient way to this. Your solution will have runtime. Thats not very good if you need to join more than a few items.
The easiest way to improve on your solution is to generate a lookup table from the original data beforehand by creating an associative array which has title/name as it's key. When doing the merge afterwards a lookup will be fast (and does not get slower with more entries).
You only loop twice instead of n*m times. Which would lead to a linear runtime
QUESTION
I'm trying to create a for loop in R but I'm struggling. For each subset in nulo
, I would like to count the number of rows under a given set of conditions.
The code without the loop is below:
...ANSWER
Answered 2020-Nov-13 at 15:35The problem is that you are trying to replace something with something else, and the replacement does not match the dimension of the former.
I suspect that the error is caused by this line.
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