plan next steps

#6

R/functions.R

@@ -26,6 +26,7 @@ make_grid = function(CITYlimit)  {
 
   CITYlimit_meters = st_transform(CITYlimit, 3857) #projected
   cellsize = c(200, 200) #200x200m
+  # cellsize = cellsize
 
   grid = st_make_grid(CITYlimit_meters,
                       cellsize = cellsize, 

README.Rmd

@@ -23,7 +23,20 @@ SiteSelection is a full script that uses a dynamic pipeline, and gathers and pro
 * Public Transit demand
 * POI and activities
 
-This work is part of Streets4All Project, developed at the University of Lisbon and at the University of Coimbra, and funded by Fundação para a Ciência e Tecnologia (PT).
+This work is part of [Streets4All Project](https://streets4all.tecnico.ulisboa.pt), developed at the University of Lisbon and at the University of Coimbra, and funded by Fundação para a Ciência e Tecnologia (PT).
+
+## Sources
+
+The SIteSelection package is based in Portuguese open datasets, such as census and GTFS data.
+
+Although it is easy to run for any location in Portugal, you may adapt the code to run at other locations (considering you have the similar data needed).
+
+Data needed for other locations:
+
+* Census data (population and buildings)
+* GTFS data
+* Administrative boundaries
+
 
 ## Setup
 

README.md

@@ -20,9 +20,25 @@ and gathers and processes information on:
 - Public Transit demand
 - POI and activities
 
-This work is part of Streets4All Project, developed at the University of
-Lisbon and at the University of Coimbra, and funded by Fundação para a
-Ciência e Tecnologia (PT).
+This work is part of [Streets4All
+Project](https://streets4all.tecnico.ulisboa.pt), developed at the
+University of Lisbon and at the University of Coimbra, and funded by
+Fundação para a Ciência e Tecnologia (PT).
+
+## Sources
+
+The SIteSelection package is based in Portuguese open datasets, such as
+census and GTFS data.
+
+Although it is easy to run for any location in Portugal, you may adapt
+the code to run at other locations (considering you have the similar
+data needed).
+
+Data needed for other locations:
+
+- Census data (population and buildings)
+- GTFS data
+- Administrative boundaries
 
 ## Setup
 

code/landuse.R

@@ -1,12 +1,23 @@
 # aim: landuse class for each cell
 
 
+# landuse -----------------------------------------------------------------
 
-# density -----------------------------------------------------------------
+ir buscar o edificado (OSM? CENSOS)
+classificar o edificado (residencial, industrial, comercial, etc)
+- hoteis
+- edificações predominantemente residenciais
+- serviços
+- restauração
+- comércio
 
+# entropy - diversity -----------------------------------------------------
 
+é por número de classes ou por área?
+por número.
 
-# entropy - diversity -----------------------------------------------------
+1 valor para cada célula
+
+# colocar info na grid  --------------------------------------------------
 
-censos edificado?
-
+# medida associada à GRID

code/population.R

@@ -0,0 +1,10 @@
+# aim: get population for each cell and then include information in the grid
+
+# density -----------------------------------------------------------------
+population
+ir buscar dados onde?
+
+  centroids pop  
+
+# back to grid -------------------------------------------------------------
+

code/transit.R

@@ -0,0 +1,27 @@
+# aim: get daily frequency of transit modes in the area
+
+
+# get gtfs and validate ---------------------------------------------------
+
+gtfs de todos as operadoras a nível nacional
+filtrar as que são underground
+validar
+verificar data comum /(senão traspor)
+gtfs merge
+
+
+# calcular frequencia por hora por paragem --------------------------------
+
+ficar com o valor máximo horário num dia típico
+
+
+# procurar paragens no poligono -------------------------------------------
+
+soma da média de frequencia de todas as paragens dentro do poligono
+
+
+# classificacao -----------------------------------------------------------
+
+ver o ranking do artigo (NACTO) e classificar a grid
+
+

run.R

@@ -8,3 +8,6 @@
 targets::tar_make()
 # targets::tar_make_clustermq(workers = 2) # nolint
 # targets::tar_make_future(workers = 2) # nolint
+
+
+# targets::tar_make(CITY = "Cascais", cellsize = c()