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Rlibkdv  

A Versatile Kernel Density Visualization Library for Geospatial Analytics (Heatmap)
View on CRAN: Click here


Download and install Rlibkdv package within the R console
Install from CRAN:
install.packages("Rlibkdv")

Install from Github:
library("remotes")
install_github("cran/Rlibkdv")

Install by package version:
library("remotes")
install_version("Rlibkdv", "1.1")



Attach the package and use:
library("Rlibkdv")
Maintained by
Bojian Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-28
Latest Update: 2023-10-21
Description:
Unlock the power of large-scale geospatial analysis, quickly generate high-resolution kernel density visualizations, supporting advanced analysis tasks such as bandwidth-tuning and spatiotemporal analysis. Regardless of the size of your dataset, our library delivers efficient and accurate results. Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng (2023) . Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu (2023) . Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu (2022) . Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu (2022) . Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu (2022) . Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu (2022) . Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng (2021) . Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng (2021) . Tsz Nam Chan, Reynold Cheng, Man Lung Yiu (2020) . Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal (2020) . Tsz Nam Chan, Man Lung Yiu, Leong Hou U (2019) .
How to cite:
Bojian Zhu (2023). Rlibkdv: A Versatile Kernel Density Visualization Library for Geospatial Analytics (Heatmap). R package version 1.1, https://cran.r-project.org/web/packages/Rlibkdv. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2023-08-28 19:00)
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Complete documentation for Rlibkdv
Functions, R codes and Examples using the Rlibkdv R package
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