Hi,
I am trying to use (nearest neighbor analysis) in the context of malaria cases, and I have the following inquiries please to help me understand it as am building my knowledge about it and the online information I came across was confusing:
- Can I have good thorough and easy to understand resources explaining: Average nearest neighbor (ANN) analysis, and other spatial analyses used as an alternative for spatial clustering identification and quantification, please?
- what is the difference between ANN, K-nearest neighbor (KNN), and K-function?
- is "K function" is the same as "KNN"??Here is an article about KNN and a link explaining K-function, I am not sure if they are the same thing or different? https://towardsdatascience.com/point-pattern-analysis-of-location-data-1346f318865dhttps://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.570.5418&rep=rep1&type=pdf
- what is the difference between ANN and KNN?
- KNN do assess cluster from a time and space perspective, meaning it assess clustering by evaluating whether the points/cases are near in location and whether the points are nearby by the time of occurrence.
- wouldn't that require my data to have the exact time each infection case occurred?
- Does ANN consider both "Time" and space? and if yes, would having all cases diagnosed at the SAME time through a cross-sectional survey be a limitation to the ANN test?
- what are the assumptions underlying and controlling ANN? and its limitations?
I appreciate any feedback and thank you for your time and support.
