Timeline for Generating random points in polygons to simulate population distribution
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 5, 2021 at 10:09 | vote | accept | Ekow_ababio | ||
| Nov 5, 2021 at 8:50 | answer | added | Spacedman | timeline score: 2 | |
| Nov 5, 2021 at 6:14 | comment | added | Ekow_ababio | I am currently analysing disease distribution (Bayesian spatial modeling) at a point level (household) accounting for some underlying spatial and individual covariates. Now I want to create fake data (with the ability to change the population distribution and disease distribution) to test the model. I will then run the model with the stimulated data, to see if the model is just mimicking the underlying population distribution or the actual disease pattern. It is also the reason for creating simulated data of different scenarios. I apologise if my submissions are not helpful - a new field to me | |
| Nov 4, 2021 at 22:29 | comment | added | Jeffrey Evans | You do not want a random sample but, rather a non stationary point process. If you think about it, density is not random, its clustered. As @Spacedman stated you can do this via an intensity function but, you really need to decide on an underlying distributional form. However, it would be ideal if you had a model, based on observed data, to start with. Else wise, the results are rather arbitrary in their meaning. I may help if stated something resembling a hypothesis, regarding the spatial process, that you want to test. | |
| Nov 4, 2021 at 19:57 | comment | added | Spacedman | If you want to test a statistical model you generally want to simulate from that model's distribution. Is that what you have? | |
| Nov 4, 2021 at 19:14 | comment | added | Ekow_ababio | @Spacedman this field is completely new to me hence the limited amount of information on the issues you raised. I don't want the intensity function to relate to the population. The purpose of the simulate is to see if the result from the model which seems to show actual population distribution is real or artefactual. For now, a linear intensity function will suffice and any magnitude for the increase or decrease function will suffice (I can later change these for further simulation analysis if the need be) | |
| Nov 4, 2021 at 18:57 | comment | added | Spacedman | What you want is a non-uniform point pattern. You have to decide exactly how non-uniform you want it, by defining an intensity function, which is a function of x and y (or lat and long). All you've said is that you want the intensity to increase or decrease with X coordinate, but not by how much, or if it also needs to relate to population, or if you want it linear or not. All these things need to be defined before we can give a complete solution. | |
| Nov 4, 2021 at 18:17 | history | asked | Ekow_ababio | CC BY-SA 4.0 |