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Maxcovr: Find the best locations for facilities using the maximal covering location problem

R Consortium
21.2K subscribers
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2.7K views 6 years ago
Want better wifi at the office? Improved access to healthcare? The maximal covering location problem (MCLP) can help! The MCLP finds optimal locations of facilities to improve their coverage on a set of targets. This means better placed wifi routers and healthcare facilities. Although the MCLP was described in the 1970s, it can be daunting to actually implement as you need to know how to:1) Formulate an optimisation problem2) Make it talk to a solver engine3) Get the data into the appropriate format for the solver to recognise4) Translate the model output into a usable formatIt is challenging, particularly if you are not familiar with optimisation, or techniques such as linear programming. It is, however, a great use case for an R package to abstract away detail you don’t need to worry about. The R package maxcovr provides a set of tools to perform, summarise, and visualise the MCLP, so that you can move on with your analysis, place better cellphone towers, and create better access to health facilities.In this talk, I describe why the MCLP is useful, where it can be applied, and demonstrate of the use of maxcovr, before finally discussing future directions. ...more
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These chapters are auto-generated

Introduction

0:00

Free WiFi in Brisbane

0:50

Fun facts about WiFi

1:35

WiFi in Brisbane

2:07

Bad internet in Brisbane

2:23

Bus stops

3:47

Brisbane Government

4:25

Select properties

5:00

Where coverage

5:18

Optimization problem

5:23

Problem statement

5:42

Citations

6:10

Thomas Lumley

6:22

The problem

6:35

Pit of success

7:19

The idea

7:27

Maxcovr

7:46

Design principles

8:16

Coverage function

8:39

Fit function

9:06

Print summary

9:19

Print results

9:35

Model

9:56

Summary

10:10

Users affected

10:18

Augmented users

10:27

Per

11:03

Texas plot

11:37

WiFi router distance

11:50

New locations

12:06

What does this mean

12:17

Other options

13:33

Improvements

13:43

Thank you

15:31

Other types of distances

15:46
Maxcovr: Find the best locations for facilities using the maximal covering location problem
44Likes
2,747Views
2018Jul 15
Want better wifi at the office? Improved access to healthcare? The maximal covering location problem (MCLP) can help! The MCLP finds optimal locations of facilities to improve their coverage on a set of targets. This means better placed wifi routers and healthcare facilities. Although the MCLP was described in the 1970s, it can be daunting to actually implement as you need to know how to:1) Formulate an optimisation problem2) Make it talk to a solver engine3) Get the data into the appropriate format for the solver to recognise4) Translate the model output into a usable formatIt is challenging, particularly if you are not familiar with optimisation, or techniques such as linear programming. It is, however, a great use case for an R package to abstract away detail you don’t need to worry about. The R package maxcovr provides a set of tools to perform, summarise, and visualise the MCLP, so that you can move on with your analysis, place better cellphone towers, and create better access to health facilities.In this talk, I describe why the MCLP is useful, where it can be applied, and demonstrate of the use of maxcovr, before finally discussing future directions.

Follow along using the transcript.

R Consortium

21.2K subscribers