geocompr | Open source book : Geocomputation with R | Dataset library

by geocompx R Version: 1.9.1-2 License: Non-SPDX

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kandi X-RAY | geocompr Summary

geocompr is a R library typically used in Artificial Intelligence, Dataset applications. geocompr has no bugs, it has no vulnerabilities and it has medium support. However geocompr has a Non-SPDX License. You can download it from GitHub.

This repository hosts the code underlying Geocomputation with R, a book by Robin Lovelace, Jakub Nowosad, and Jannes Muenchow. If you find the contents useful, please cite it as follows:. Lovelace, Robin, Jakub Nowosad and Jannes Muenchow (2019). Geocomputation with R. The R Series. CRC Press. The first version of the book has been published by CRC Press in the R Series and can be viewed online at bookdown.org. Read the latest version at r.geocompx.org.

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Support

geocompr has a medium active ecosystem.

It has 1355 star(s) with 560 fork(s). There are 44 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 515 have been closed. On average issues are closed in 35 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of geocompr is 1.9.1-2

Quality

geocompr has no bugs reported.

Security

geocompr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

geocompr has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

geocompr releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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geocompr Key Features

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geocompr Examples and Code Snippets

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Community Discussions

Trending Discussions on Dataset

Replacing dataframe value given multiple condition from another dataframe with R

Does Hub support integrations for MinIO, AWS, and GCP? If so, how does it work?

Custom Sampler correct use in Pytorch

C++ what is the best sorting container and approach for large datasets (millions of lines)

How to create a dataset for tensorflow from a txt file containing paths and labels?

Converting 0-1 values in dataset with the name of the column if the value of the cell is 1

How can i get person class and segmentation from MSCOCO dataset?

R - If column contains a string from vector, append flag into another column

How to divide a large image dataset into groups of pictures and save them inside subfolders using python?

Proper way of cleaning csv file

QUESTION

Replacing dataframe value given multiple condition from another dataframe with R

Asked 2022-Apr-14 at 16:16

I have two dataframes one with the dates (converted in months) of multiple survey replicates for a given grid cell and the other one with snow data for each month for the same grid cell, they have a matching ID column to identify the cells. What I would like to do is to replace in the first dataframe, the one with months of survey replicates, the month value with the snow value for that month considering the grid cell ID. Thank you

...

ANSWER

Answered 2022-Apr-14 at 14:50

df3 <- df1
df3[!is.na(df1)] <- df2[!is.na(df1)]
#   CellID sampl1 sampl2 sampl3
# 1      1    0.1    0.4    0.6
# 2      2    0.1    0.5    0.7
# 3      3    0.1    0.4    0.8
# 4      4    0.1      
# 5      5         
# 6      6

Source https://stackoverflow.com/questions/71873315

QUESTION

Does Hub support integrations for MinIO, AWS, and GCP? If so, how does it work?

Asked 2022-Mar-19 at 16:28

I was taking a look at Hub—the dataset format for AI—and noticed that hub integrates with GCP and AWS. I was wondering if it also supported integrations with MinIO.

I know that Hub allows you to directly stream datasets from cloud storage to ML workflows but I’m not sure which ML workflows it integrates with.

I would like to use MinIO over S3 since my team has a self-hosted MinIO instance (aka it's free).

...

ANSWER

Answered 2022-Mar-19 at 16:28

Hub allows you to load data from anywhere. Hub works locally, on Google Cloud, MinIO, AWS as well as Activeloop storage (no servers needed!). So, it allows you to load data and directly stream datasets from cloud storage to ML workflows.

You can find more information about storage authentication in the Hub docs.

Then, Hub allows you to stream data to PyTorch or TensorFlow with simple dataset integrations as if the data were local since you can connect Hub datasets to ML frameworks.

Source https://stackoverflow.com/questions/71539946

QUESTION

Custom Sampler correct use in Pytorch

Asked 2022-Mar-17 at 19:22

I have a map-stype dataset, which is used for instance segmentation tasks. The dataset is very imbalanced, in the sense that some images have only 10 objects while others have up to 1200.

How can I limit the number of objects per batch?

A minimal reproducible example is:

...

ANSWER

Answered 2022-Mar-17 at 19:22

If what you are trying to solve really is:

Source https://stackoverflow.com/questions/71500629

QUESTION

C++ what is the best sorting container and approach for large datasets (millions of lines)

Asked 2022-Mar-08 at 11:24

I'm tackling a exercise which is supposed to exactly benchmark the time complexity of such code.

The data I'm handling is made up of pairs of strings like this hbFvMF,PZLmRb, each string is present two times in the dataset, once on position 1 and once on position 2 . so the first string would point to zvEcqe,hbFvMF for example and the list goes on....

example dataset of 50k pairs

I've been able to produce code which doesn't have much problem sorting these datasets up to 50k pairs, where it takes about 4-5 minutes. 10k gets sorted in a matter of seconds.

The problem is that my code is supposed to handle datasets of up to 5 million pairs. So I'm trying to see what more I can do. I will post my two best attempts, initial one with vectors, which I thought I could upgrade by replacing vector with unsorted_map because of the better time complexity when searching, but to my surprise, there was almost no difference between the two containers when I tested it. I'm not sure if my approach to the problem or the containers I'm choosing are causing the steep sorting times...

Attempt with vectors:

...

ANSWER

Answered 2022-Feb-22 at 07:13

You can use a trie data structure, here's a paper that explains an algorithm to do that: https://people.eng.unimelb.edu.au/jzobel/fulltext/acsc03sz.pdf

But you have to implement the trie from scratch because as far as I know there is no default trie implementation in c++.

Source https://stackoverflow.com/questions/71215478

QUESTION

How to create a dataset for tensorflow from a txt file containing paths and labels?

Asked 2022-Feb-09 at 08:09

I'm trying to load the DomainNet dataset into a tensorflow dataset. Each of the domains contain two .txt files for the training and test data respectively, which is structured as follows:

...

ANSWER

Answered 2022-Feb-09 at 08:09

You can use tf.data.TextLineDataset to load and process multiple txt files at a time:

Source https://stackoverflow.com/questions/71045309

QUESTION

Converting 0-1 values in dataset with the name of the column if the value of the cell is 1

Asked 2022-Feb-02 at 07:02

I have a csv dataset with the values 0-1 for the features of the elements. I want to iterate each cell and replace the values 1 with the name of its column. There are more than 500 thousand rows and 200 columns and, because the table is exported from another annotation tool which I update often, I want to find a way in Python to do it automatically. This is not the table, but a sample test which I was using while trying to write a code I tried some, but without success. I would really appreciate it if you can share your knowledge with me. It will be a huge help. The final result I want to have is of the type: (abonojnë, token_pos_verb). If you know any method that I can do this in Excel without the help of Python, it would be even better. Thank you, Brikena

...

ANSWER

Answered 2022-Jan-31 at 10:08

Using pandas, this is quite easy:

Source https://stackoverflow.com/questions/70923533

QUESTION

How can i get person class and segmentation from MSCOCO dataset?

Asked 2022-Jan-06 at 05:04

I want to download only person class and binary segmentation from COCO dataset. How can I do it?

...

ANSWER

Answered 2022-Jan-06 at 05:04

use pycocotools .

import library

Source https://stackoverflow.com/questions/70531408

QUESTION

R - If column contains a string from vector, append flag into another column

Asked 2021-Dec-16 at 23:33

My Data

I have a vector of words, like the below. This is an oversimplification, my real vector is over 600 words:

...

ANSWER

Answered 2021-Dec-16 at 23:33

Update: If a list is preferred: Using str_extract_all:

Source https://stackoverflow.com/questions/70386370

QUESTION

How to divide a large image dataset into groups of pictures and save them inside subfolders using python?

Asked 2021-Dec-08 at 15:13

I have an image dataset that looks like this: Dataset

The timestep of each image is 15 minutes (as you can see, the timestamp is in the filename).

Now I would like to group those images in 3hrs long sequences and save those sequences inside subfolders that would contain respectively 12 images(=3hrs). The result would ideally look like this: Sequences

I have tried using os.walk and loop inside the folder where the image dataset is saved, then I created a dataframe using pandas because I thought I could handle the files more easily but I think I am totally off target here.

...

ANSWER

Answered 2021-Dec-08 at 15:10

The timestep of each image is 15 minutes (as you can see, the timestamp is in the filename).

Now I would like to group those images in 3hrs long sequences and save those sequences inside subfolders that would contain respectively 12 images(=3hrs)

I suggest exploiting datetime built-in libary to get desired result, for each file you have

get substring which is holding timestamp
parse it into datetime.datetime instance using datetime.datetime.strptime
convert said instance into seconds since epoch using .timestamp method
compute number of seconds integer division (//) 10800 (number of seconds inside 3hr)
convert value you got into str and use it as target subfolder name

Source https://stackoverflow.com/questions/70276989

QUESTION

Proper way of cleaning csv file

Asked 2021-Nov-15 at 22:58

I've got a huge CSV file, which looks like this:

...

ANSWER

Answered 2021-Nov-15 at 21:33

You can use a regular expression for this:

Source https://stackoverflow.com/questions/69981109

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install geocompr

You can download it from GitHub.

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