change data for interactive visualisation

docs/afterword/resources.md

@@ -1,5 +1,5 @@
 
-![Pangeo logo](.././figures/pangeo_name_logo.png) 
+![Pangeo logo](../images/pangeo_name_logo.png) 
 
 **A community platform for Big Data geoscience** 
 
@@ -47,4 +47,4 @@ _List of some active initiatives. Find more in https://github.com/pangeo-data_.
 - [verde](https://github.com/fatiando/verde), _package_, aims at processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., gridding).
 - [xarray-sentinel](https://github.com/bopen/xarray-sentinel): _package_, facilitates access and exploration of the SAR data products of the Copernicus Sentinel-1 satellite mission.
 - [xESMF](https://github.com/pangeo-data/xESMF): _package_, a regridding tool suited for non-orthogonal grids. xESMF tries to be simple and intuitive.
-- [xMIP](https://github.com/jbusecke/xMIP): _package_, facilitates the cleaning, organization and interactive analysis of Model Intercomparison Projects (MIPs) within the Pangeo software stack.
+- [xMIP](https://github.com/jbusecke/xMIP): _package_, facilitates the cleaning, organization and interactive analysis of Model Intercomparison Projects (MIPs) within the Pangeo software stack.

docs/pangeo/chunking_introduction.ipynb

@@ -962,7 +962,7 @@
     "\n",
     "If you look carefully to `LTS`, each Data Variable is a `dask.array` with a chunk size of `(15680, 40320)`. So basically accessing one data variable would load arrays of dimensions `(15680, 40320)` into the computer's RAM. You can see this information and more details by clicking the icon as indicated in the image below.\n",
     "\n",
-    "![Dask.array](images/datasize.png)\n",
+    "![Dask.array](../images/datasize.png)\n",
     "\n",
     "When you open one or several netCDF files with `open_mdfataset`, by default, the chunks correspond to the entire size of the variable data array read from each file. When you need to analyze large files, a computer's memory may not be sufficient anymore (see in this example, 2.36GiB for one chunk!).\n",
     "\n",
@@ -977,10 +977,10 @@
     "__Chunking__ is splitting a dataset into small pieces. \n",
     "\n",
     "Original dataset is in one piece,  \n",
-    "![Dask.array](images/notchunked.png)\n",
+    "![Dask.array](../images/notchunked.png)\n",
     "\n",
     "and we split it into several smaller pieces.  \n",
-    "![Dask.array](images/chunked.png)\n",
+    "![Dask.array](../images/chunked.png)\n",
     "\n",
     "We split it into pieces so that we can process our data block by block or __chunk__ by __chunk__.\n",
     "\n",

docs/pangeo/dask_introduction.ipynb

@@ -159,7 +159,7 @@
     "\n",
     "When we use chunks with `Xarray`, the real computation is only done when needed or asked for, usually when invoking `compute()` function. Dask generates a **task graph** describing the computations to be done. When using [Dask Distributed](https://distributed.dask.org/en/stable/) a **Scheduler** distributes these tasks across several **Workers**.\n",
     "\n",
-    "![Xarray with dask](images/dask-xarray-explained.png)"
+    "![Xarray with dask](../images/dask-xarray-explained.png)"
    ]
   },
   {
@@ -579,8 +579,8 @@
     "you will just need too look at the html link you have for your jupyterlab, and Dask dashboard port number, as highlighted in the figure below.\n",
     "\n",
     "\n",
-    "<img src=\"images/dashboardlink.png\" width=\"50%\">\n",
-    "<img src=\"images/dasklab.png\" width=\"30%\">\n",
+    "<img src=\"../images/dashboardlink.png\" width=\"50%\">\n",
+    "<img src=\"../images/dasklab.png\" width=\"30%\">\n",
     "\n",
     "Then click the orange icon indicated in the above figure, and type 'your' dashboard link (normally, you just need to replace 'todaka' to 'your username').  \n",
     "\n",
@@ -592,7 +592,7 @@
     "You can click several buttons indicated with blue arrows in above figures, then drag and drop to place them as your convenience.  \n",
     "\n",
     "\n",
-    "<img src=\"images/exampledasklab.png\" width=\"50%\">\n",
+    "<img src=\"../images/exampledasklab.png\" width=\"50%\">\n",
     "\n",
     "\n",
     "It's really helpfull to understand your computation and how it is distributed."