update README to include forecasts workflow

.gitignore

@@ -12,3 +12,4 @@ data-raw/cyclones
 data
 !data/.gitkeep
 README.html
+README_files

README.Rmd

@@ -65,7 +65,6 @@ paglaom
     |-- _targets_heat.R
     |-- _targets_setup.R
     |-- _targets.R
-    |-- _targets.yaml
 ```
 
 * `.github` contains project testing and automated deployment of outputs workflows via continuous integration and continuous deployment (CI/CD) using Github Actions.
@@ -90,9 +89,6 @@ paglaom
 
 * `_targets*.R` files define the steps in the workflow's data ingest, data processing, data analysis, and reporting pipelines.
 
-* `_targets.yaml` file defines the different targets sub-projects within this project.
-
-
 ## Reproducibility
 
 ### R package dependencies
@@ -113,9 +109,11 @@ Currently, the project has workflows that curate the following datasets:
 
 2. Daily heat index data from various data collection points in the Philippines;
 
-3. Climatological extremes and normals data over time; and,
+3. Climatological extremes and normals data over time;
+
+4. Daily dam water level data; and,
 
-4. Daily dam water level data.
+5. Daily weather forecasts.
 
 The following diagram illustrates these workflows
 
@@ -124,7 +122,7 @@ cat(
   "```mermaid",
   targets::tar_mermaid(
     targets_only = TRUE, 
-    names = dplyr::starts_with(c("climate_", "cyclone_", "cylones_", "dam_", "heat_")),
+    names = dplyr::starts_with(c("climate_", "cyclone_", "cylones_", "dam_", "heat_", "forecasts_")),
     color = FALSE, legend = FALSE
   ),
   "```",

README.md

@@ -101,7 +101,6 @@ The project repository is structured as follows:
         |-- _targets_heat.R
         |-- _targets_setup.R
         |-- _targets.R
-        |-- _targets.yaml
 
   - `.github` contains project testing and automated deployment of
     outputs workflows via continuous integration and continuous
@@ -150,9 +149,6 @@ The project repository is structured as follows:
   - `_targets*.R` files define the steps in the workflow’s data ingest,
     data processing, data analysis, and reporting pipelines.
 
-  - `_targets.yaml` file defines the different targets sub-projects
-    within this project.
-
 ## Reproducibility
 
 ### R package dependencies
@@ -180,50 +176,41 @@ Currently, the project has workflows that curate the following datasets:
 2.  Daily heat index data from various data collection points in the
     Philippines;
 
-3.  Climatological extremes and normals data over time; and,
+3.  Climatological extremes and normals data over time;
+
+4.  Daily dam water level data; and,
 
-4.  Daily dam water level data.
+5.  Daily weather forecasts.
 
 The following diagram illustrates these workflows
 
-\-|/-|/-| `mermaid graph LR style Graph fill:#FFFFFF00,stroke:#000000;
-subgraph Graph direction LR
-x56bd7c118ed46a38(["heat_index_links"]):::outdated -->
-x113a83dcec46090f(["heat_index_links_urls"]):::outdated
-x567709ab5f0adc71(["heat_index_pubfiles_url"]):::uptodate -->
-x56bd7c118ed46a38(["heat_index_links"]):::outdated
-xc044beb81380bb4a["climate_download_files"]:::uptodate -->
-x42da7c0722c063a6(["climate_data_normals_1991_2020"]):::outdated
-xc044beb81380bb4a["climate_download_files"]:::uptodate -->
-xe06460aefd475ca2(["climate_data_extremes_2020"]):::outdated
-xc044beb81380bb4a["climate_download_files"]:::uptodate -->
-xc83b489a1c433852(["climate_data_extremes_2021"]):::outdated
-xc044beb81380bb4a["climate_download_files"]:::uptodate -->
-x9b64b30afbfc8ff9(["climate_data_extremes_2022"]):::outdated
-xc044beb81380bb4a["climate_download_files"]:::uptodate -->
-xf620d5783ff15609(["climate_data_extremes_2023"]):::outdated
-x26b861c7a0a21b52["climate_pdf_urls"]:::uptodate -->
-xc044beb81380bb4a["climate_download_files"]:::uptodate
-x7255575025352eb6(["dam_level_data_files"]):::uptodate -->
-xd2c3c65ab78d2c70(["dam_level_data_processed"]):::uptodate
-x0de96327cc07b160(["dam_level_data"]):::outdated -->
-x202d34e7af3ea1c1(["dam_level_data_raw_csv"]):::outdated
-xd2c3c65ab78d2c70(["dam_level_data_processed"]):::uptodate -->
-xfa0b497de91938bb(["dam_level_data_csv"]):::outdated
-x56bd7c118ed46a38(["heat_index_links"]):::outdated -->
-xc432bd4e21a7b9fa(["heat_index_links_dates"]):::outdated
-xa37a01adfb45bd68(["climate_directory_urls"]):::uptodate -->
-x26b861c7a0a21b52["climate_pdf_urls"]:::uptodate
-xc432bd4e21a7b9fa(["heat_index_links_dates"]):::outdated -->
-x4f749438c4164b8e["heat_index_download_files"]:::outdated
-x113a83dcec46090f(["heat_index_links_urls"]):::outdated -->
-x4f749438c4164b8e["heat_index_download_files"]:::outdated
-xb48a3b157c96bffd(["climate_pubfiles_url"]):::uptodate -->
-xa37a01adfb45bd68(["climate_directory_urls"]):::uptodate
-xc77bb431ac7c3081(["dam_level_url"]):::uptodate -->
-x0de96327cc07b160(["dam_level_data"]):::outdated
-x6f87cfcc96bb274d(["cyclone_reports_links"]):::outdated -->
-x1cf596d0c4f824b5["cyclone_reports_download_files"]:::outdated end`
+``` mermaid
+graph LR
+  style Graph fill:#FFFFFF00,stroke:#000000;
+  subgraph Graph
+    direction LR
+    x56bd7c118ed46a38(["heat_index_links"]):::outdated --> xc432bd4e21a7b9fa(["heat_index_links_dates"]):::outdated
+    x26b861c7a0a21b52["climate_pdf_urls"]:::uptodate --> xc044beb81380bb4a["climate_download_files"]:::uptodate
+    xc77bb431ac7c3081(["dam_level_url"]):::uptodate --> x0de96327cc07b160(["dam_level_data"]):::outdated
+    x6f87cfcc96bb274d(["cyclone_reports_links"]):::outdated --> x1cf596d0c4f824b5["cyclone_reports_download_files"]:::outdated
+    xc432bd4e21a7b9fa(["heat_index_links_dates"]):::outdated --> x4f749438c4164b8e["heat_index_download_files"]:::outdated
+    x113a83dcec46090f(["heat_index_links_urls"]):::outdated --> x4f749438c4164b8e["heat_index_download_files"]:::outdated
+    xa37a01adfb45bd68(["climate_directory_urls"]):::uptodate --> x26b861c7a0a21b52["climate_pdf_urls"]:::uptodate
+    xc044beb81380bb4a["climate_download_files"]:::uptodate --> x42da7c0722c063a6(["climate_data_normals_1991_2020"]):::outdated
+    xd2c3c65ab78d2c70(["dam_level_data_processed"]):::uptodate --> xfa0b497de91938bb(["dam_level_data_csv"]):::outdated
+    x0de96327cc07b160(["dam_level_data"]):::outdated --> x202d34e7af3ea1c1(["dam_level_data_raw_csv"]):::outdated
+    xb48a3b157c96bffd(["climate_pubfiles_url"]):::uptodate --> xa37a01adfb45bd68(["climate_directory_urls"]):::uptodate
+    xc11d790635c14420(["forecasts_pubfiles_urls"]):::uptodate --> x7dd7e06e8ff4bc40["forecasts_download_files"]:::uptodate
+    x28812d8ea4d86f19(["forecasts_archive_pdfs"]):::uptodate --> xcfcf871ca951fc3f["forecasts_data_raw"]:::uptodate
+    x56bd7c118ed46a38(["heat_index_links"]):::outdated --> x113a83dcec46090f(["heat_index_links_urls"]):::outdated
+    x7255575025352eb6(["dam_level_data_files"]):::uptodate --> xd2c3c65ab78d2c70(["dam_level_data_processed"]):::uptodate
+    x567709ab5f0adc71(["heat_index_pubfiles_url"]):::uptodate --> x56bd7c118ed46a38(["heat_index_links"]):::outdated
+    xc044beb81380bb4a["climate_download_files"]:::uptodate --> xe06460aefd475ca2(["climate_data_extremes_2020"]):::outdated
+    xc044beb81380bb4a["climate_download_files"]:::uptodate --> xc83b489a1c433852(["climate_data_extremes_2021"]):::outdated
+    xc044beb81380bb4a["climate_download_files"]:::uptodate --> x9b64b30afbfc8ff9(["climate_data_extremes_2022"]):::outdated
+    xc044beb81380bb4a["climate_download_files"]:::uptodate --> xf620d5783ff15609(["climate_data_extremes_2023"]):::outdated
+  end
+```
 
 To run any of these workflows, run the following command on the R
 console:
@@ -280,10 +267,14 @@ will run all targets in the cyclones and dam levels data workflow.
 The project also has a workflow for weekly GitHub release of the various
 raw datasets.
 
-\-|/-|/- `mermaid graph LR style Graph fill:#FFFFFF00,stroke:#000000;
-subgraph Graph direction LR
-x8e2305bde709e13c(["paglaom_weekly_release_tag"]):::outdated -->
-x2ee1cead5469690e(["paglaom_weekly_release"]):::outdated end`
+``` mermaid
+graph LR
+  style Graph fill:#FFFFFF00,stroke:#000000;
+  subgraph Graph
+    direction LR
+    x8e2305bde709e13c(["paglaom_weekly_release_tag"]):::outdated --> x2ee1cead5469690e(["paglaom_weekly_release"]):::outdated
+  end
+```
 
 ## Author