# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SecDim" in publications use:'
type: software
license: GPL-3.0-only
title: 'SecDim: The Second Dimension of Spatial Association'
version: 3.2.9000
doi: 10.1016/j.jag.2022.102834
identifiers:
- type: doi
  value: 10.32614/CRAN.package.SecDim
abstract: Most of the current methods explore spatial association using observations
  at sample locations, which are defined as the first dimension of spatial association
  (FDA). The proposed concept of the second dimension of spatial association (SDA),
  as described in Yongze Song (2022) <https://doi.org/10.1016/j.jag.2022.102834>,
  aims to extract in-depth information about the geographical environment from locations
  outside sample locations for exploring spatial association.
authors:
- family-names: Song
  given-names: Yongze
  email: yongze.song@outlook.com
  orcid: https://orcid.org/0000-0003-3420-9622
- family-names: Lv
  given-names: Wenbo
  email: lyu.geosocial@gmail.com
  orcid: https://orcid.org/0009-0002-6003-3800
preferred-citation:
  type: article
  title: The second dimension of spatial association
  authors:
  - family-names: Yongze
    given-names: Song
  year: '2022'
  month: '7'
  volume: '111'
  journal: International Journal of Applied Earth Observation and Geoinformation
  issn: 1569-8432
  publisher:
    name: Elsevier BV
  doi: 10.1016/j.jag.2022.102834
  url: https://doi.org/10.1016/j.jag.2022.102834
  start: '102834'
repository: https://ausgis.r-universe.dev
repository-code: https://github.com/ausgis/SecDim
commit: d60bfafae4771eb526eecc10ca795146a7565d13
url: https://ausgis.github.io/SecDim/
contact:
- family-names: Lv
  given-names: Wenbo
  email: lyu.geosocial@gmail.com
  orcid: https://orcid.org/0009-0002-6003-3800