{"version":"desci-nodes-0.2.0","components":[{"id":"root","name":"root","type":"data-bucket","payload":{"cid":"bafybeia72hhvd462jlv32b4yenrqrpdu76xnnc36hm3vi42znd6a47eoqe","path":"root"}},{"id":"c85f7b0d-e722-44aa-8321-47edef0513e1","name":"GStatSim paper","type":"pdf","payload":{"url":"bafybeidwjjmc7q6h27emk4ivd23psg67rsynntbmwgydpdamj677i5ph4m","path":"root/egusphere-2022-1224.pdf","annotations":[{"startX":0.03870967741935484,"startY":0.5059399021663172,"endX":0.047926267281105994,"endY":0.5129280223619846,"pageIndex":4,"id":"e22ee7e7-6f0a-4dd0-8752-6d0cc7432240","text":"Run the Jupyter Notebook code to reproduce figure 1a\n\n\n[GStatSim: 1_Experimental_Variogram.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/1_Experimental_Variogram.ipynb)\n\n"},{"id":"c0b86cd0-f075-4518-8d54-08f89077f807","startX":0.05714285714285714,"startY":0.3221523410202656,"endX":0.05898617511520737,"endY":0.3221523410202656,"pageIndex":5,"text":"Run the Jupyter Notebook code to reproduce figure 2\n\n\n[GStatSim: 1_Experimental_Variogram.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/1_Experimental_Variogram.ipynb)\n"},{"startX":0.029493087557603687,"startY":0.28791055206149546,"endX":0.03870967741935484,"endY":0.2948986722571628,"pageIndex":6,"id":"075db80d-caa1-4984-82a9-8e90fd81d719","text":"Run the Jupyter Notebook code to reproduce figure 3a\n\n\n[GStatSim: 2_Variogram_model.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/2_Variogram_model.ipynb)\n"},{"startX":0.004608294930875576,"startY":0.36547868623340324,"endX":0.013824884792626729,"endY":0.3724668064290706,"pageIndex":6,"id":"087ee9db-6daf-41b2-bd4c-a39b9872eea4","text":"Run the Jupyter Notebook code to reproduce figure 3b\n\n\n[GStatSim: 1_Experimental_Variogram.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/1_Experimental_Variogram.ipynb)\n"},{"startX":0.06820276497695853,"startY":0.42697414395527605,"endX":0.07741935483870968,"endY":0.4339622641509434,"pageIndex":9,"id":"cbc5657d-de8c-435e-891c-c05a86120f8c","text":"Run the Jupyter Notebook code to reproduce figure 4\n\n\n[GStatSim: 3_Simple_kriging_and_ordinary_kriging.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/3_Simple_kriging_and_ordinary_kriging.ipynb)\n"},{"startX":0.018433179723502304,"startY":0.27113906359189377,"endX":0.027649769585253458,"endY":0.2781271837875611,"pageIndex":10,"id":"ca4f9c12-228e-407b-9ff6-0880d1a49eed","text":"Run the Jupyter Notebook code to reproduce figure 5a\n\n\n[GStatSim: 3_Simple_kriging_and_ordinary_kriging.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/3_Simple_kriging_and_ordinary_kriging.ipynb)\n"},{"startX":0.04055299539170507,"startY":0.3445143256464011,"endX":0.04976958525345622,"endY":0.35150244584206847,"pageIndex":10,"id":"9fc19a19-0083-4654-96db-00088758dca7","text":"Run the Jupyter Notebook code to reproduce figure 5b\n\n\n[GStatSim: 4_Sequential_Gaussian_Simulation.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/4_Sequential_Gaussian_Simulation.ipynb)\n"},{"startX":0.06267281105990784,"startY":0.32983927323549966,"endX":0.07188940092165899,"endY":0.336827393431167,"pageIndex":11,"id":"247446bc-f2d5-407d-9d25-b04f2810e855","text":"Run the Jupyter Notebook code to reproduce figure 6\n\n\n[GStatSim: 4_Sequential_Gaussian_Simulation.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/4_Sequential_Gaussian_Simulation.ipynb)\n"},{"startX":0.054377880184331796,"startY":0.3424178895877009,"endX":0.06359447004608294,"endY":0.3494060097833683,"pageIndex":13,"id":"c582923d-a8a7-41e2-86af-fb886d07c0e0","text":"Run the Jupyter Notebook code to reproduce figure 7\n\n\n[GStatSim: 6_interpolation_with_anisotropy.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/6_interpolation_with_anisotropy.ipynb)\n"},{"startX":0.052534562211981564,"startY":0.32634521313766596,"endX":0.06175115207373272,"endY":0.3333333333333333,"pageIndex":14,"id":"12a8220a-8234-4ea3-a532-b48f4e656dfd","text":"Run the Jupyter Notebook code to reproduce figure 8\n\n\n[GStatSim: 9_interpolation_with_a_trend.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/9_interpolation_with_a_trend.ipynb)\n"},{"startX":0.04976958525345622,"startY":0.24248777078965758,"endX":0.05898617511520737,"endY":0.24947589098532494,"pageIndex":15,"id":"544c07b5-e5a3-41cb-ae89-fd99be3de10d","text":"Run the Jupyter Notebook code to reproduce figure 9\n\n\n[GStatSim: 9_interpolation_with_a_trend.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/9_interpolation_with_a_trend.ipynb)\n"},{"startX":0.03686635944700461,"startY":0.20894479385045422,"endX":0.04608294930875576,"endY":0.21593291404612158,"pageIndex":17,"id":"d22ff842-067c-4e49-8b2e-a693f6e3eec5","text":"Run the Jupyter Notebook code to reproduce figure 10\n\n\n[GStatSim: 7_non-stationary_SGS_example1.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/7_non-stationary_SGS_example1.ipynb)\n"},{"startX":0.034101382488479264,"startY":0.5737246680642907,"endX":0.04331797235023042,"endY":0.5807127882599581,"pageIndex":17,"id":"a33fb08d-9cb3-4c59-b624-b102e19da40f","text":"Run the Jupyter Notebook code to reproduce figure 11\n\n\n[GStatSim: 8_non-stationary_SGS_example2.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/8_non-stationary_SGS_example2.ipynb)\n"},{"startX":0.034101382488479264,"startY":0.22292103424178897,"endX":0.04331797235023042,"endY":0.22990915443745633,"pageIndex":20,"id":"214827ee-3b1f-48e1-befb-df57b8149367","text":"Run the Jupyter Notebook code to reproduce figure 12\n\n\n[GStatSim: 10_cokriging_and_cosimulation_MM1.ipynb](#/code/99edcac7-a7e8-47c6-8fd4-e5db5785dbef?path=demos/10_cokriging_and_cosimulation_MM1.ipynb)\n"}],"keywords":["Geostatistics","Kriging","Simulation"],"description":"GStatSim is a Python 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