From 358f4b9ebadde8b30ddcd025bb09447beacfa51f Mon Sep 17 00:00:00 2001 From: Anita Applegarth Date: Thu, 30 Jan 2025 13:37:52 +0000 Subject: [PATCH] attempt to get links to work in readme --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c8e2b77..5ed119f 100644 --- a/README.md +++ b/README.md @@ -57,7 +57,7 @@ As shown in Figure 1, the region of interest is broken into a spatial structure: * *Places* - quantity per microcell is based on a probabilistic distribution. These are spaces where individuals might meet other individuals from different households, a workplace or a public park for example. > [!IMPORTANT] -> Follow **Step 2.1(#step-21)** instructions for an Epigeopop simulation or **Step 2.2(#Step-22)** for a toy simulation. +> Follow **[Step 2.1](#Step-21)** instructions for an Epigeopop simulation or **[Step 2.2](#Step-22)** for a toy simulation. **Step 2.1 Using EpiGeoPop** @@ -75,12 +75,12 @@ The structure is created using [EpiGeoPop](https://github.com/SABS-R3-Epidemiolo > [!CAUTION] > At the time of writing, the tool did not extract the data successfully. Please follow the instructions [in this Jupyter notebook](./walk_through/detailed_example.ipynb). -In summary, the spatial structure for a region is generated using EpiGeoPop. This tool exports into a csv file the number of households, places, and individuals for each microcell. It also produces a Population Density map in `outputs/countries/.pdf`, an example of Andorra shown in Figure 3. +In summary, the spatial structure for a region is generated using EpiGeoPop. This tool exports into a csv file the number of households, places, and individuals for each microcell. It also produces a Population Density map in `outputs/countries/.pdf`, the example of Andorra is shown in Figure 3.
Population density map of Andorra
Figure 3. Example output: Population density map of Andorra.
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**Step 2.2 Using User-defined values**