Merge pull request #50 from IMMM-SFA/dev

update url
IMMM-SFA · Jun 30, 2022 · 5f2a75e · 5f2a75e
2 parents 00cfa70 + b06b16b
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diff --git a/docs/source/A2.1_fishgame.rst b/docs/source/A2.1_fishgame.rst
@@ -147,7 +147,7 @@ found within the msdbook package data.
 Next we plot the identified solutions with regards to their objective
 performance in a parallel axis plot
 
-.. tip:: View the source code used to create this plot here: `plot_objective_performance <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-objective-performance>`_
+.. tip:: View the source code used to create this plot here: `plot_objective_performance <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-objective-performance>`_
 
 .. code:: ipython3
 
@@ -361,7 +361,7 @@ We first define the stability condition, as a function of :math:`b` and
     a = a.clip(0,2)
 
 
-.. tip:: View the source code used to create this plot here: `plot_factor_performance <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-factor-performance>`_
+.. tip:: View the source code used to create this plot here: `plot_factor_performance <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-factor-performance>`_
 
 .. code:: ipython3
 

diff --git a/docs/source/A2.4_hymod.rst b/docs/source/A2.4_hymod.rst
@@ -350,7 +350,7 @@ streamflow, and combined runoff. In this tutorial we focus on the total
 daily runoff, QQ (:math:`m^3/s`). We can use the following script to
 plot simulated streamflow against observed streamflow.
 
-.. tip:: View the source code used to create this plot here: `plot_observed_vs_simulated_streamflow <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-observed-vs-simulated-streamflow>`_
+.. tip:: View the source code used to create this plot here: `plot_observed_vs_simulated_streamflow <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-observed-vs-simulated-streamflow>`_
 
 .. code:: ipython3
 
@@ -579,7 +579,7 @@ observed streamflow.
     df_obs_mth_mean = leaf_data.groupby(['year', 'month']).mean()
 
 
-.. tip:: View the source code used to create this plot here: `plot_observed_vs_sensitivity_streamflow <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-observed-vs-sensitivity-streamflow>`_
+.. tip:: View the source code used to create this plot here: `plot_observed_vs_sensitivity_streamflow <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-observed-vs-sensitivity-streamflow>`_
 
 .. code:: ipython3
 
@@ -983,7 +983,7 @@ The following can be used to visualize the time-varying first-order
 indices. The first order represents the direct impacts of a specific
 parameter on model outputs.
 
-.. tip:: View the source code used to create this plot here: `plot_monthly_heatmap <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-monthly-heatmap>`_
+.. tip:: View the source code used to create this plot here: `plot_monthly_heatmap <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-monthly-heatmap>`_
 
 .. code:: ipython3
 
@@ -1078,7 +1078,7 @@ outputs to annual time steps, and then calculates the SA indices.
 First-order indices
 ^^^^^^^^^^^^^^^^^^^
 
-.. tip:: View the source code used to create this plot here: `plot_annual_heatmap <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-annual-heatmap>`_
+.. tip:: View the source code used to create this plot here: `plot_annual_heatmap <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-annual-heatmap>`_
 
 .. code:: ipython3
 
@@ -1161,7 +1161,7 @@ the monthly TVSA.
 First-order indices
 ^^^^^^^^^^^^^^^^^^^
 
-.. tip:: View the source code used to create this plot here: `plot_varying_heatmap <https://immm-sfa.github.io/msd_uncertainty_ebook/docs/html/A3_plotting_code.html#plot-varying-heatmap>`_
+.. tip:: View the source code used to create this plot here: `plot_varying_heatmap <https://uc-ebook.org/docs/html/A3_plotting_code.html#plot-varying-heatmap>`_
 
 .. code:: ipython3
 

diff --git a/landing/src/app.css b/landing/src/app.css
@@ -4,8 +4,8 @@
 
 @font-face {
 	font-family: 'ornaments';
-	src: url('/msd_uncertainty_ebook/fonts/nymphette-webfont.woff') format('woff'),
-		url('/msd_uncertainty_ebook/fonts/nymphette-webfont.woff2') format('woff'),
+	src: url('/fonts/nymphette-webfont.woff') format('woff'),
+		url('/fonts/nymphette-webfont.woff2') format('woff'),
 		url('fonts/nymphette-webfont.woff') format('woff'),
 		url('fonts/nymphette-webfont.woff2') format('woff');
 }
diff --git a/landing/src/app.html b/landing/src/app.html
@@ -8,16 +8,16 @@
 
 		<meta property="og:title" content="Addressing Uncertainty in MultiSector Dynamics Research" />
 		<meta property="og:type" content="website" />
-		<meta property="og:url" content="https://immm-sfa.github.io/msd_uncertainty_ebook/" />
-		<link rel="image_src" href="https://immm-sfa.github.io/msd_uncertainty_ebook/images/ebook_thumbnail_1.png" type="image/png" />
-		<meta property="og:image" content="https://immm-sfa.github.io/msd_uncertainty_ebook/images/ebook_thumbnail_1.png" />
-		<meta property="og:image:secure_url" content="https://immm-sfa.github.io/msd_uncertainty_ebook/images/ebook_thumbnail_1.png" />
+		<meta property="og:url" content="https://uc-ebook.org" />
+		<link rel="image_src" href="https://uc-ebook.org/images/ebook_thumbnail_1.png" type="image/png" />
+		<meta property="og:image" content="https://uc-ebook.org/images/ebook_thumbnail_1.png" />
+		<meta property="og:image:secure_url" content="https://uc-ebook.org/images/ebook_thumbnail_1.png" />
 		<meta property="og:image:type" content="image/png" />
 		<meta property="og:description" content="A living guide to sensitivity analysis and diagnostic model evaluation techniques for confronting the computational and conceptual challenges of multi-model, transdisciplinary workflows." />
 		<meta property="og:site_name" content="Addressing Uncertainty in MultiSector Dynamics Research" />
 		<meta property="og:locale" content="en_US" />
-		<meta name="twitter:title" content="Addressing Uncertainty in MultiSector Dynamics Research">
-		<meta name="twitter:description" content="A living guide to sensitivity analysis and diagnostic model evaluation techniques for confronting the computational and conceptual challenges of multi-model, transdisciplinary workflows.">
+		<meta name="twitter:title" content="Addressing Uncertainty in MultiSector Dynamics Research" />
+		<meta name="twitter:description" content="A living guide to sensitivity analysis and diagnostic model evaluation techniques for confronting the computational and conceptual challenges of multi-model, transdisciplinary workflows." />
 
 		<!-- Global site tag (gtag.js) - Google Analytics -->
 		<script async src="https://www.googletagmanager.com/gtag/js?id=G-Z9WMRS23CZ"></script>

diff --git a/landing/src/lib/Cite.svelte b/landing/src/lib/Cite.svelte
@@ -10,7 +10,7 @@
     doi = {10.5281/zenodo.6110623},
     publisher = {Zenodo},
     title = {{Addressing Uncertainty in Multisector Dynamics Research}},
-    url = {https://immm-sfa.github.io/msd_uncertainty_ebook/},
+    url = {https://uc-ebook.org},
     year = {2022}
 }`,
     };

diff --git a/landing/svelte.config.js b/landing/svelte.config.js
@@ -1,8 +1,6 @@
 import adapter from '@sveltejs/adapter-static';
 import preprocess from 'svelte-preprocess';
 
-const dev = process.env.NODE_ENV === 'development';
-
 /** @type {import('@sveltejs/kit').Config} */
 const config = {
 	// Consult https://github.com/sveltejs/svelte-preprocess
@@ -15,7 +13,7 @@ const config = {
 			assets: 'build'
 		}),
 		paths: {
-			base: dev ? '' : '/msd_uncertainty_ebook'
+			base: ''
 		}
 	}
 };