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Spatial Predictive Modeling

3packages depend
6.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Jin LiCRAN page ↗

Introduction to some novel accurate hybrid methods of geostatistical and machine learning methods for spatial predictive modelling. It contains two commonly used geostatistical methods, two machine learning methods, four hybrid methods and two averaging methods. For each method, two functions are provided. One function is for assessing the predictive errors and accuracy of the method based on cross-validation. The other one is for generating spatial predictions using the method. For details please see: Li, J., Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010) https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/71407 Li, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011) doi:10.1016/j.csr.2011.05.015 Li, J., Heap, A. D., Potter, A. and Daniell, J. (2011) doi:10.1016/j.envsoft.2011.07.004 Li, J., Potter, A., Huang, Z. and Heap, A. (2012) https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/74030.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE13 OK, 1 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2.3
READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
41
Examples that run
9%3 run in a plain check · 30 never run
Exported functions with examples
100%
Documented parameters
83%
Return-value docs
100%
Help pages citing references
80%

Downloads

6.4K
CRAN downloads in the past year
Rank #6,803 · ~17/day · ~531/mo
Daily download trend is not available in this view yet.
45930 days
1.3K90 days
6.4K1 year
Compare downloads with other packages →
Also on104 r2u2 autocran210 c2d4u

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing spm adds 25 packages (19 with compiled code, 34 MB of source tarballs). Heaviest: sf 9.3 MB, sp 4.3 MB, stars 3.8 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
3direct
0indirect
Imports 3
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2017)
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.3Latest
    record
    2025-09-06 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.2
    record
    2022-05-06 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • unarchivedReturned to CRAN
    2021-09-06
  • 1.2.1
    record
    2021-09-06 · diff ↗
  • archivedRemoved from CRAN
    2021-06-02
    email to the maintainer was undeliverable
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.2.0
    record
    2019-02-22 · diff ↗ ·
    added 2 exports
    avi, rvi
  • 1.1.1
    record
    2018-07-20 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 3 earlier eventsHide 3 earlier events
  • 1.1.0
    record
    2018-03-20 · diff ↗ ·
    added 9 exports
    rgcv, rgidwcv, rgidwpred, rgokcv, rgokpred, rgokrgidwcv, rgokrgidwpred, rgpred, tovecv
  • 1.0.0
    record
    2017-08-25
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-08-25
Total releases
7 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
2.5 MB / 7 files
Download size
2.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spm")
Li, J. (2025). spm: Spatial Predictive Modeling (Version 1.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.spm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spm version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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