diff --git a/content/tutorials/modeling_movement/GRASS_movement_pt.qmd b/content/tutorials/modeling_movement/GRASS_movement_pt.qmd index 000d0a0..9df533e 100644 --- a/content/tutorials/modeling_movement/GRASS_movement_pt.qmd +++ b/content/tutorials/modeling_movement/GRASS_movement_pt.qmd @@ -14,7 +14,7 @@ format: code-copy: true code-fold: false page-layout: article -categories: [intermediate, advanced, GUI, raster, cost surface, least cost path, Português] +categories: [intermediate, advanced, GUI, raster, cost surface, least cost path, Portuguese] description: Gerando uma superfície de custo cumulativo e um caminho de menor custo com *r.walk* e *r.path* para modelar o movimento ao caminhar por uma paisagem. execute: eval: false diff --git a/content/tutorials/noise/noise.qmd b/content/tutorials/noise/noise.qmd index ae4567b..5ca198d 100644 --- a/content/tutorials/noise/noise.qmd +++ b/content/tutorials/noise/noise.qmd @@ -3,7 +3,7 @@ title: "Procedural Noise" author: "Brendan Harmon" date: 2025-07-18 date-modified: today -categories: [noise, terrain, raster, map algebra, python, intermediate] +categories: [noise, terrain, raster, map algebra, Python, intermediate] description: Learn how to generate procedural noise using Python scripting in GRASS. image: images/noise_05.webp bibliography: noise.bib diff --git a/content/tutorials/terrain_and_DEMs/GRASS_terrain_pt.qmd b/content/tutorials/terrain_and_DEMs/GRASS_terrain_pt.qmd index bd8a38e..b4e5da2 100644 --- a/content/tutorials/terrain_and_DEMs/GRASS_terrain_pt.qmd +++ b/content/tutorials/terrain_and_DEMs/GRASS_terrain_pt.qmd @@ -14,7 +14,7 @@ format: code-copy: true code-fold: false page-layout: article -categories: [beginner, intermediate, raster, DEM, visualization, terrain, slope, aspect, landforms, hydrology, streams, Português] +categories: [beginner, intermediate, raster, DEM, visualization, terrain, slope, aspect, landforms, hydrology, streams, Portuguese] description: Este tutorial orienta o usuário por meio de várias maneiras de analisar e modelar terrenos a partir de mapas raster MDE. execute: eval: false diff --git a/content/tutorials/time_series/time_series_aggregations.qmd b/content/tutorials/time_series/time_series_aggregations.qmd index ad8b3d3..0669cb5 100644 --- a/content/tutorials/time_series/time_series_aggregations.qmd +++ b/content/tutorials/time_series/time_series_aggregations.qmd @@ -228,7 +228,7 @@ gs.run_command("t.rast.series", method="average") # Display raster map with interactive class -spw_map = gj.InteractiveMap(width = 500, use_region=True, tiles="CartoDark") +spw_map = gj.InteractiveMap(width = 500, use_region=True, tiles="CartoDB.DarkMatter") spw_map.add_raster("avg_spring_warming") spw_map.add_layer_control(position = "bottomright") spw_map.show() diff --git a/content/tutorials/time_series/time_series_query_with_vector.qmd b/content/tutorials/time_series/time_series_query_with_vector.qmd index dc2551b..37be6ce 100644 --- a/content/tutorials/time_series/time_series_query_with_vector.qmd +++ b/content/tutorials/time_series/time_series_query_with_vector.qmd @@ -306,7 +306,7 @@ need aggregated values for a set of points. :::{.callout-note} We could have also used -[t.sample](https://grass.osgeo.org/grass84/manuals/t.sample.html) +[t.sample](https://grass.osgeo.org/grass-stable/manuals/t.sample.html) to check which maps from `lst_daily` would be aggregated in the new column `lst_new` above.