From 4503d46c910ec4b56ade3c6fc3cad8b99e68df3e Mon Sep 17 00:00:00 2001
From: Daniel Baumgartner <30929451+insilentio@users.noreply.github.com>
Date: Mon, 15 Jul 2024 10:19:19 +0200
Subject: [PATCH] Delete data_freeze/2_Data directory

---
 data_freeze/2_Data/.gitignore                 |   6 -
 .../2_Data/2_Lookup/lookupDistrict.csv        |  35 ---
 .../2_Data/2_Lookup/lookupDistrict.xlsx       | Bin 14880 -> 0 bytes
 data_freeze/2_Data/3_Parameter/parameter.csv  | 202 ------------------
 data_freeze/2_Data/3_Parameter/variables.yml  | 134 ------------
 5 files changed, 377 deletions(-)
 delete mode 100644 data_freeze/2_Data/.gitignore
 delete mode 100644 data_freeze/2_Data/2_Lookup/lookupDistrict.csv
 delete mode 100644 data_freeze/2_Data/2_Lookup/lookupDistrict.xlsx
 delete mode 100644 data_freeze/2_Data/3_Parameter/parameter.csv
 delete mode 100644 data_freeze/2_Data/3_Parameter/variables.yml

diff --git a/data_freeze/2_Data/.gitignore b/data_freeze/2_Data/.gitignore
deleted file mode 100644
index 668f5194..00000000
--- a/data_freeze/2_Data/.gitignore
+++ /dev/null
@@ -1,6 +0,0 @@
-1_Input
-4_Rates
-5_Outputs
-6_Log
-7_DWH
-8_requests
\ No newline at end of file
diff --git a/data_freeze/2_Data/2_Lookup/lookupDistrict.csv b/data_freeze/2_Data/2_Lookup/lookupDistrict.csv
deleted file mode 100644
index 37ecfb60..00000000
--- a/data_freeze/2_Data/2_Lookup/lookupDistrict.csv
+++ /dev/null
@@ -1,35 +0,0 @@
-QuarCd;QuarLang;distr
-011;Rathaus;Kreis 1
-012;Hochschulen;Kreis 1
-013;Lindenhof;Kreis 1
-014;City;Kreis 1
-021;Wollishofen;Wollishofen
-023;Leimbach;Leimbach
-024;Enge;Enge
-031;Alt-Wiedikon;Alt-Wiedikon
-033;Friesenberg;Friesenberg
-034;Sihlfeld;Sihlfeld
-041;Werd;Werd
-042;Langstrasse;Langstrasse
-044;Hard;Hard
-051;Gewerbeschule;Gewerbeschule
-052;Escher Wyss;Escher Wyss
-061;Unterstrass;Unterstrass
-063;Oberstrass;Oberstrass
-071;Fluntern;Fluntern
-072;Hottingen;Hottingen
-073;Hirslanden;Hirslanden
-074;Witikon;Witikon
-081;Seefeld;Seefeld
-082;Mühlebach;Muehlebach
-083;Weinegg;Weinegg
-091;Albisrieden;Albisrieden
-092;Altstetten;Altstetten
-101;Höngg;Hoengg
-102;Wipkingen;Wipkingen
-111;Affoltern;Affoltern
-115;Oerlikon;Oerlikon
-119;Seebach;Seebach
-121;Saatlen;Saatlen
-122;Schwamendingen-Mitte;Schwamendingen-Mitte
-123;Hirzenbach;Hirzenbach
diff --git a/data_freeze/2_Data/2_Lookup/lookupDistrict.xlsx b/data_freeze/2_Data/2_Lookup/lookupDistrict.xlsx
deleted file mode 100644
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diff --git a/data_freeze/2_Data/3_Parameter/parameter.csv b/data_freeze/2_Data/3_Parameter/parameter.csv
deleted file mode 100644
index a87dd3bf..00000000
--- a/data_freeze/2_Data/3_Parameter/parameter.csv
+++ /dev/null
@@ -1,202 +0,0 @@
-category;parameter;parameter_old;lower;middle;upper;unit;relevance;description
-time;date_start;daten.beginn;1993;1993;1993;year;no parameter (strictly speaking);begin of data
-time;date_end;daten.ende;2022;2022;2022;year;no parameter (strictly speaking);end of data
-time;scen_begin;szen.beginn;2023;2023;2023;year;no parameter (strictly speaking);future: begin
-time;scen_end;szen.ende;2050;2050;2050;year;no parameter (strictly speaking);future: end
-time;scen_end_public;no parameter in previous model;2045;2045;2045;year;no parameter (strictly speaking);future: end (in publication)
-time;bir_base_begin;geb.basis.beginn;2010;2010;2010;year;medium;base period (in the past) for birth rate, begin
-time;bir_base_end;geb.basis.ende;2022;2022;2022;year;medium;base period (in the past) for birth rate, end
-time;bir_cha_base_begin;no parameter in previous model;2007;2007;2007;year;low;base period (in the past) for origin change (mother-baby), begin
-time;bir_cha_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (in the past) for origin change (mother-baby), end
-time;bir_sex_ratio_begin;no parameter in previous model;1993;1993;1993;year;low;base period (in the past) for sex ratio calculation, begin
-time;bir_sex_ratio_end;no parameter in previous model;2022;2022;2022;year;low;base period (in the past) for sex ratio calculation, begin
-time;dea_fso_date_start;no parameter in previous model;1993;1993;1993;year;low;fso mortality data of the past: begin
-time;dea_fso_date_end;no parameter in previous model;2021;2021;2021;year;low;fso mortality data of the past: end
-time;dea_base_begin;tod.basis.beginn;2012;2012;2012;year;low;base period (in the past) for death rate, begin (data should be available for both Zurich and Switzerland)
-time;dea_base_end;tod.basis.ende;2021;2021;2021;year;low;base period (in the past) for death rate, end (data should be available for both Zurich and Switzerland)
-time;ims_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for immigration* rate, begin
-time;ims_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for immigration* rate, end
-time;ims_so_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for proportion of sex and origin in immigration*, begin
-time;ims_so_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future)  for proportion of sex and origin in immigration*, end
-time;ims_age_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for proportion of age in immigration*, begin
-time;ims_age_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future)  for proportion of age in immigration*, end
-time;ems_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for emigration* rate, begin
-time;ems_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for emigration* rate, end
-time;ems_so_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for proportion of sex and origin in emigration*, begin
-time;ems_so_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future)  for proportion of sex and origin in emigration*, end
-time;ems_age_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for proportion of age in emigration*, begin
-time;ems_age_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future)  for proportion of age in emigration*, end
-time;rei_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for relocation based on immigration* (proportion), begin
-time;rei_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for relocation based on immigration* (proportion), end
-time;ree_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for relocation based on emigration* (proportion), begin
-time;ree_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for relocation based on emigration* (proportion), end
-time;nat_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for naturalization, begin
-time;nat_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for naturalization, end
-time;spa_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for living space, begin
-time;spa_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for living space, end
-time;spa_base_begin_52p;no parameter in previous model;2015;2015;2015;year;low;"base period (not the future) for living space, begin, district 'Escher Wyss' (district ID = 52; since empty apartments increased the mean living space values; before 2015)"
-time;aca_base_begin;no parameter in previous model;2013;2013;2013;year;low;base period (not the future) for allocation, begin
-time;aca_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for allocation, end
-time;aca_base_begin_52p;no parameter in previous model;2015;2015;2015;year;low;"base period (not the future) for allocation, begin, district 'Escher Wyss' (district ID = 52; since empty apartments decreased the mean allocation values; before 2015)"
-time;pro_begin;map.wohnbau.beginn;2023;2023;2023;year;low;"first year (of consolidated project list; reasonable: first scenario year)"
-time;pro_end;map.wohnbau.ende;2035;2035;2035;year;low;last year (of consolidated project list)
-time;own_base_begin;no parameter in previous model;2015;2015;2015;year;low;base period (not the future) for ownership calculation, begin
-time;own_base_end;no parameter in previous model;2022;2022;2022;year;low;base period (not the future) for ownership calculation, end
-age;age_min;no parameter in previous model;0;0;0;years (age);low;minimum age in the model 
-age;age_max;no parameter in previous model;120;120;120;years (age);low;maximum age in the model (should be clearly higher than maximum age in the population)
-general;round_rate;no parameter in previous model;4;4;4;digits (rate in percent per year);no parameter;rounding of rates (digits, rate in percent per year)
-general;round_prop;no parameter in previous model;4;4;4;digits (proportion in percent);no parameter;rounding of proportion (digits, proportion in percent)
-general;round_area;no parameter in previous model;4;4;4;digits (area);no parameter;rounding of area (e.g. ha in the capacity and reserve module)
-general;round_people;no parameter in previous model;0;0;0;digits (people);no parameter;rounding of people
-general;round_aca;no parameter in previous model;4;4;4;digits (people per apartment);no parameter;rounding of allocation (people per apartment)
-general;round_people_scen;no parameter in previous model;100;100;100;people (not digits);no parameter;"rounding of people (for future values; scenarios)"
-general;round_prop_scen;no parameter in previous model;0;0;0;digits (proportion in percent);no parameter;"rounding of proportion (for future values; scenarios)"
-general;round_prop_scen_a;no parameter in previous model;1;1;1;digits (proportion in percent);no parameter;"rounding of proportion (for future values; scenarios): comparison to previous scenarios by age"
-birth;bir_age_begin;geb.alter.beginn;15;15;15;year;no parameter (strictly speaking);fertility rate: fertile age (fixed expression): begin
-birth;bir_age_end;geb.alter.ende;49;49;49;year;no parameter (strictly speaking);fertility rate: fertile age (fixed expression): end
-birth;bir_thres_origin;geb.anz.rate.heimat;100;100;100;persons;low;"age distribution of women (population): if there are less women than this threshold in the tails (cumulative measure), then the rate based on origin (but not district) is used.
-"
-birth;bir_thres_overall;geb.anz.rate.stadt;50;50;50;persons;low;age distribution of women (population): if there are less women than this threshold in the tails (cumulative measure), then the overall rate is used (e.g not the rate based on origin and district).
-birth;bir_thres_const;geb.anz.rate.const;25;25;25;persons;low;age distribution of women (population): if there are less women than this threshold in the tails (cumulative measure), then a constant rate is used (e.g not the rate based on origin and district). The constant rate is set by the parameter bir_thres_value.
-birth;bir_thres_value;geb.wert.rate.const;0;0;0;birth per woman and year in %;low;birth rate: if there are less women than a certain threshold (bir_thres_const)  a constant fertility rate is used. The values is chosen with this parameter.
-birth;bir_fer_span;no parameter in previous model;0.3;0.3;0.3;no unit;low;"proportion of data points used in the LOESS regressions of fertility by age; groups: district, year, origin"
-birth;bir_prop_trend;geb.anteil.trend;20;20;20;percent;medium;"trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-birth;bir_thres_percent;geb.grenze.prozent;20;20;20;percent;low;"It is not realistic that the fertility rate changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential future fertility rates (change in percent of mean; e.g. +/- 20%)."
-birth;bir_window_thres;geb.window.grenz;13;13;13;years;low;filter over years (to smooth a potential break in the curve due to range of future fertility rates: bir_thres_percent).
-birth;bir_lower_thres;no parameter in previous model;0;0;0;percent per year;low;lower threshold for the rate (e.g. the birth rate should not be negative), NA if there is no lower threshold
-birth;bir_upper_thres;no parameter in previous model;NA;NA;NA;percent per year;low;upper threshold for the rate, NA if there is no upper threshold
-birth;bir_plot_lim;no parameter in previous model;30;30;30;percent per year;no parameter;"the fertility rates of the past are compared with the predictions; the y-axis is limited (since the fertility rate of the past can be very large due to low population)"
-birth;bir_fer_span_pred;no parameter in previous model;0.15;0.15;0.15;no unit;low;"after the prediction: proportion of data points used in the LOESS regressions of fertility by age; groups: district, year, origin"
-birth;bir_cha_trend;geb.heimat.anteil.trend;0;0;0;percent;low;"origin change (mother-baby): trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-birth;bir_cha_prop_trend;no parameter in previous model;20;20;20;percent;medium;"origin change (mother-baby): trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-birth;bir_cha_thres_percent;no parameter in previous model;20;20;20;percent;low;"origin change (mother-baby): It is not realistic that the fertility rate changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential future fertility rates (change in percent of mean; e.g. +/- 20%)."
-birth;bir_cha_window_thres;no parameter in previous model;13;13;13;years;low;origin change (mother-baby): filter over years (to smooth a potential break in the curve due to range of future fertility rates: bir_thres_percent).
-birth;bir_cha_lower_thres;no parameter in previous model;0;0;0;percent;low;origin change (mother-baby): lower threshold for the rate (here: the rate should not be negative), NA if there is no lower threshold
-birth;bir_cha_upper_thres;no parameter in previous model;100;100;100;percent;low;origin change (mother-baby): upper threshold for the rate (here: not more than 100 %), NA if there is no lower threshold
-death;dea_lower;tod.jung.alter.ende.schweiz, tod.jung.alter.ende.ausland;30;30;30;years (age);low;"lower age limit of age-dependent ratio (death rates of Zurich and entire Switzerland); comment: limit not included in range with age-dependence"
-death;dea_upper;tod.alt.alter.beginn.schweiz, tod.alt.alter.beginn.ausland;99;99;99;years (age);low;"upper age limit of age-dependent ratio (death rates of Zurich and entire Switzerland); comment: limit not included in range with age-dependence"
-death;dea_radix;no parameter in previous model;100000;100000;100000;persons;no;radix (starting population) for life expectancy calcuation (no effect on result)
-death;dea_age_at;no parameter in previous model;0;0;0;years (age);no;"life expectancy at certain age (usually at birth; i.e. age zero)"
-death;dea_age_max_le;tod.alt.alter.ende;120;120;120;years (age);low;maximum age for the estimation of the life expectancy
-death;dea_fso_cat_past;no parameter in previous model;2;2;2;no unit;no parameter;Category in the FSO data: (smoothed) data of the past
-death;dea_fso_cat_future;no parameter in previous model;3;3;3;no unit;no parameter;Category in the FSO data: data of the future
-death;dea_qx_NA_le;no parameter in previous model;0.8;0.8;0.8;per year;low;if there is no one at a certain age in the population (e.g. no 96 year old men), then qx (probability to die between age x and x+1) is NA. However, a value is need to multiply the subsequent survival probabilities
-death;dea_mor_span;no parameter in previous model;0.2;0.2;0.2;no unit;low;"proportion of data points used in the LOESS regressions of mortality by age; groups: sex, region (City of Zurich, Switzerland)"
-immigration*;ims_rate_prop_trend;zuz.rate.anteil.trend;20;20;20;percent;low;"immigration rate*: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-immigration*;ims_rate_thres_percent;zuz.rate.grenze.prozent;20;20;20;percent;low;"It is not realistic that the immigration* rates changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential rates (change in percent of mean; e.g. +/- 20%)."
-immigration*;ims_rate_window_thres;zuz.rate.window.grenz;13;13;13;years;low;filter over years (to smooth a potential break in the curve due to range of future immigration* rates: imm_rate_thres_percent).
-immigration*;ims_rate_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;lower threshold for the rate (here: the rate should not be negative), NA if there is no lower threshold
-immigration*;ims_so_prop_trend;zuz.ghvert.anteil.trend;20;20;20;percent;low;"proportion of sex and origin: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-immigration*;ims_so_thres_percent;zuz.ghvert.grenze.prozent;20;20;20;percent;low;"It is not realistic that the proportions of sex and origin change dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-immigration*;ims_so_window_thres;"zuz.ghvert.window.grenz
-";13;13;13;years;low;filter over years (to smooth a potential break in the curve due to range of future proportions
-immigration*;ims_so_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-immigration*;ims_span_y;no parameter in previous model;0.3;0.3;0.3;no unit;low;"proportion of data points used in the loess regressions of proportion by year; groups: district, age, sex, origin (immigration* by district, year, age, sex, origin)"
-immigration*;ims_span_a;no parameter in previous model;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of proportion by age; groups: district, year, sex, origin (age proportion by district, year, sex, origin)"
-immigration*;ims_age_prop_trend;no parameter in previous model;20;20;20;percent;low;"age distribution of immigrations*: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-immigration*;ims_age_thres_percent;no parameter in previous model;20;20;20;percent;low;"age distribution of immigrations*: It is not realistic that the proportion of age changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-immigration*;ims_age_window_thres;no parameter in previous model;13;13;13;years;low;age distribution of immigrations*: filter over years (to smooth a potential break in the curve due to range of future proportions
-immigration*;ims_age_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;age distribution of immigrations*: lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-emigration*;ems_rate_prop_trend;weg.rate.anteil.trend;20;20;20;percent;low;"emigration rate*: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-emigration*;ems_rate_thres_percent;weg.rate.grenze.prozent;20;20;20;percent;low;"It is not realistic that the emigration* rates changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential rates (change in percent of mean; e.g. +/- 20%)."
-emigration*;ems_rate_window_thres;weg.rate.window.grenz;13;13;13;years;low;filter over years (to smooth a potential break in the curve due to range of future emigration* rates: imm_rate_thres_percent).
-emigration*;ems_rate_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;lower threshold for the rate (here: the rate should not be negative), NA if there is no lower threshold
-emigration*;ems_so_prop_trend;weg.ghvert.anteil.trend;20;20;20;percent;low;"proportion of sex and origin: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-emigration*;ems_so_thres_percent;weg.ghvert.grenze.prozent;20;20;20;percent;low;"It is not realistic that the proportions of sex and origin change dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-emigration*;ems_so_window_thres;"weg.ghvert.window.grenz
-";13;13;13;years;low;filter over years (to smooth a potential break in the curve due to range of future proportions
-emigration*;ems_so_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-emigration*;ems_span_y;no parameter in previous model;0.3;0.3;0.3;no unit;low;"proportion of data points used in the LOESS regressions of proportion by year; groups: district, age, sex, origin (emigration* by district, year, age, sex, origin)"
-emigration*;ems_span_a;no parameter in previous model;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of proportion by age; groups: district, year, sex, origin (age proportion by district, year, sex, origin)"
-emigration*;ems_age_prop_trend;no parameter in previous model;20;20;20;percent;low;"age distribution of emigrations*: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-emigration*;ems_age_thres_percent;no parameter in previous model;20;20;20;percent;low;"age distribution of emigrations*: It is not realistic that the proportion of age changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-emigration*;ems_age_window_thres;no parameter in previous model;13;13;13;years;low;age distribution of emigrations*: filter over years (to smooth a potential break in the curve due to range of future proportions
-emigration*;ems_age_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;age distribution of emigrations*: lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-relocation and immigration*;rei_age_max;umz.alter.max;70;70;70;years;low;as of this age: one single proportion (relocation on immigration*)
-relocation and immigration*;rei_ims_span_dyao;similar to umz.window.alter;0.2;0.2;0.2;no unit;medium;"proportion of data points used in the LOESS regressions of immigration* by age; groups: district, year, origin"
-relocation and immigration*;rei_rel_span_dyao;similar to umz.window.alter;0.2;0.2;0.2;no unit;medium;"proportion of data points used in the LOESS regressions of relocation by age; groups: district, year, origin"
-relocation and immigration*;rei_ims_span_dao;similar to umz.window.alter;0.12;0.12;0.12;no unit;medium;"proportion of data points used in the LOESS regressions of immigration* by age; groups: district, origin"
-relocation and immigration*;rei_rel_span_dao;similar to umz.window.alter;0.12;0.12;0.12;no unit;medium;"proportion of data points used in the LOESS regressions of relocation by age; groups: district, origin"
-relocation and immigration*;rei_ims_thres_y;similar to umz.anz.rate.stadt;0.4;0.4;0.4;persons per year;low;when immigration* is above this threshold: proportion with year (and district, age, origin), below without year (but with district, age, origin).
-relocation and immigration*;rei_prop_span;similar to umz.window.alter;0.3;0.3;0.3;no unit;medium;"proportion of data points used in the LOESS regressions of proportion by age; groups: district, year, origin"
-relocation and immigration*;rei_prop_trend;umz.anteil.trend;20;20;20;percent;low;"relocation proportion on immigration*: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-relocation and immigration*;rei_thres_percent;no parameter in previous model;20;20;20;percent;low;"relocation proportion on immigration*: It is not realistic that the proportion changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-relocation and immigration*;rei_window_thres;no parameter in previous model;13;13;13;years;low;relocation proportion on immigration*: filter over years (to smooth a potential break in the curve due to range of future proportions
-relocation and immigration*;rei_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;relocation proportion on immigration*: lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-relocation and immigration*;rei_upper_thres;no parameter in previous model;100;100;100;percent;no parameter;relocation proportion on immigration*: lower threshold for the proportions (here: the proportions should not be more than 100 percent), NA if there is no lower threshold
-relocation and immigration*;rei_pred_span;similar to umz.window.alter;0.15;0.15;0.15;no unit;medium;"after expansion of the prediction to age beyond age threshold: proportion of data points used in the LOESS regressions of the prediction (proportion) by age; groups: district, year, origin"
-relocation and emigration*;ree_age_max;umz.alter.max;70;70;70;years;low;as of this age: one single proportion (relocation on emigration*)
-relocation and emigration*;ree_ems_span_dyao;similar to umz.window.alter;0.2;0.2;0.2;no unit;medium;"proportion of data points used in the LOESS regressions of emigration* by age; groups: district, year, origin"
-relocation and emigration*;ree_rel_span_dyao;similar to umz.window.alter;0.2;0.2;0.2;no unit;medium;"proportion of data points used in the LOESS regressions of relocation by age; groups: district, year, origin"
-relocation and emigration*;ree_ems_span_dao;similar to umz.window.alter;0.12;0.12;0.12;no unit;medium;"proportion of data points used in the LOESS regressions of emigration* by age; groups: district, origin"
-relocation and emigration*;ree_rel_span_dao;similar to umz.window.alter;0.12;0.12;0.12;no unit;medium;"proportion of data points used in the LOESS regressions of relocation by age; groups: district, origin"
-relocation and emigration*;ree_ems_thres_y;similar to umz.anz.rate.heimat;0.4;0.4;0.4;persons per year;low;when immigration* is above this threshold: proportion with year (and district, age, origin), below without year (but with district, age, origin).
-relocation and emigration*;ree_prop_span;similar to umz.window.alter;0.3;0.3;0.3;no unit;medium;"proportion of data points used in the LOESS regressions of proportion by age; groups: district, year, origin"
-relocation and emigration*;ree_prop_trend;umz.anteil.trend;20;20;20;percent;low;"relocation proportion on emigration*: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-relocation and emigration*;ree_thres_percent;no parameter in previous model;20;20;20;percent;low;"relocation proportion on emigration*: It is not realistic that the proportion changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-relocation and emigration*;ree_window_thres;no parameter in previous model;13;13;13;years;low;relocation proportion on emigration*: filter over years (to smooth a potential break in the curve due to range of future proportions
-relocation and emigration*;ree_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;relocation proportion on emigration*: lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-relocation and emigration*;ree_upper_thres;no parameter in previous model;100;100;100;percent;no parameter;relocation proportion on emigration*: lower threshold for the proportions (here: the proportions should not be more than 100 percent), NA if there is no lower threshold
-relocation and emigration*;ree_pred_span;similar to umz.window.alter;0.15;0.15;0.15;no unit;medium;"after expansion of the prediction to age beyond age threshold: proportion of data points used in the LOESS regressions the prediction (proportion) by age; groups: district, year, origin"
-naturalization;nat_pop_span_das;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of foreign population by age; groups: district, sex"
-naturalization;nat_nat_span_das;similar to brw.window.alter;0.15;0.15;0.15;no unit;low;"proportion of data points used in the LOESS regressions of naturalization by age; groups: district, sex"
-naturalization;nat_pop_thres;similar to brw.rate.anz.null;0.5;0.5;0.5;persons;low;if less persons in the (smoothed) foreign population than this threshold: then the naturalization rate is set to nat_pop_value
-naturalization;nat_pop_value;no parameter in previous model;0;0;0;percent per year;low;value of the naturalization rate, if the foreign population is below nat_pop_thres
-naturalization;nat_rate_span_das;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of the rate by age; groups: district, sex"
-naturalization;nat_pop_span_ya;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of foreign population by age; groups: year (base years only)"
-naturalization;nat_nat_span_ya;similar to brw.window.alter;0.15;0.15;0.15;no unit;low;"proportion of data points used in the LOESS regressions of naturalization by age; groups: year (base years only)"
-naturalization;nat_rate_span_ya;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of the rate by age; groups: year (base years only)"
-naturalization;nat_prop_trend;brw.anteil.trend;20;20;20;percent;low;"naturalization: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-naturalization;nat_thres_percent;no parameter in previous model;20;20;20;percent;low;"naturalization: It is not realistic that the rate changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential rates (change in percent of mean; e.g. +/- 20%)."
-naturalization;nat_window_thres;no parameter in previous model;13;13;13;years;low;naturalization: filter over years (to smooth a potential break in the curve due to range of future proportions
-naturalization;nat_lower_thres;no parameter in previous model;0;0;0;percent;low;naturalization: lower threshold for the proportions (here: the naturalization rates should not be negative), NA if there is no lower threshold
-naturalization;nat_pop_span_a;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of foreign population by age; no groups (base years only)"
-naturalization;nat_nat_span_a;similar to brw.window.alter;0.15;0.15;0.15;no unit;low;"proportion of data points used in the LOESS regressions of naturalization by age; no groups (base years only)"
-naturalization;nat_rate_span_a;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of the rate by age; no groups (base years only)"
-naturalization;nat_factor_thres;no parameter in previous model;0.5;0.5;0.5;naturalizations per year;low;if the naturalization rate is below this threshold: then the trend factor ist set to nat_factor_value
-naturalization;nat_factor_value;no parameter in previous model;0;0;0;no unit;low;value of the trend factor, if the naturalization rate is below nat_factor_thres
-naturalization;nat_rate_span_dyas;similar to brw.window.alter;0.1;0.1;0.1;no unit;low;"proportion of data points used in the LOESS regressions of the rate by age; groups: district, year, sex"
-capacity and reserves;car_sc;kareb.vf;25;25;25;percent;medium;"Proportion of staircases; for the conversion from total area to living area."
-capacity and reserves;car_resi;kareb.wohnant;-30;10;50;percent;high;Residence portion ('slider'): -100% = minimum residential share according to the building regulation (BZO), 0% = real residential share, +100% = maximum residential share according to building regulation.
-capacity and reserves;car_plot;kareb.areal;0;50;100;percent;high;"Proportion of plot construction ('slider'); 0% = without plot construction, 100% = with plot construction"
-capacity and reserves;car_uti_input;no parameter in previous model;85;85;85;percent;high;degree of utilization used to calculate the input data
-capacity and reserves;car_uti;kareb.ausbau;75;85;95;percent;high;"degree of utilization; linear influence on the capacity"
-capacity and reserves;car_pp;kareb.ina.prozentpunkte;0;0;0;percent points;medium;usage: less or more percentage points (parameter between -100 and +100)
-capacity and reserves;car_y;kareb.ina.jahr;2048;2048;2048;year;low;Reference year of the usage values
-capacity and reserves;car_lambda;kareb.ina.lambda;-0.04;-0.04;-0.04;per year;high;"lambda value of an exponential function exp(lambda * time since start of scenario); proportion of utilization per year"
-living space;spa_apart;wf.anzwohn;500;500;500;apartments;low;"Amount of apartments per district and owner; if less apartments, then the value of the entire city (by owner) is used"
-living space;spa_prop_trend;wf.anteil.trend;0;20;50;percent;high;"living space: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-living space;spa_thres_percent;wf.grenze.prozent;20;20;20;percent;low;"living space: It is not realistic that the living space changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential changes (change in percent of mean; e.g. +/- 20%)."
-living space;spa_window_thres;wf.window.szen;7;7;7;years;low;living space: filter over years (to smooth a potential break in the curve due to range of future proportions
-living space;spa_prop_trend_52p;no parameter in previous model;0;0;0;percent;low;"living space in the Escher Wyss district (district-ID = 52): trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-allocation;aca_apart;bq.anzwohn;500;500;500;apartments;low;"Amount of apartments per district and owner; if less apartments, then the value of the entire city (by owner) is used"
-allocation;aca_prop_trend;bq.anteil.trend;0;20;50;percent;high;"allocation: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-allocation;aca_thres_percent;bq.grenze.prozent;20;20;20;percent;low;"allocation: It is not realistic that the allocation values change dramatically (i.e. tenfold ncrease). Therefore, this threshold regulates the range of potential changes (change in percent of mean; e.g. +/- 20%)."
-allocation;aca_window_thres;bq.window.szen;7;7;7;years;low;allocation: filter over years (to smooth a potential break in the curve due to range of future proportions
-allocation;aca_prop_trend_52p;no parameter in previous model;0;0;0;percent;low;"allocation in the Escher Wyss district (district-ID = 52): trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-projects;pro_lambda_begin;map.lambda.beginn;3;3;3;per year;low;"the time delay of the projects (consolidated project list) is determined by means of an exponential function (with lambda); value at the beginning of the time period (of the consolidated project list)."
-projects;pro_lambda_end;map.lambda.ende;0.5;0.5;0.5;per year;low;"the time delay of the projects (consolidated project list) is determined by means of an exponential function (with lambda); value at the end of the time period (of the consolidated project list)."
-projects;pro_transfo;no parameter in previous model;5;5;5;no unit;low;transformation parameter (non-linear curve from pro_lambda_begin to pro_lambda_end)
-projects;pro_max_delay;no parameter in previous model;5;5;5;years;low;maximum delay
-projects;pro_not_scheduled_ip;part of map.nicht1 (projektiert);30;30;30;percent;high;Percentage of projects (i.e. apartments) that are not realized: scheduled, from Infoplan
-projects;pro_not_scheduled_other;part of map.nicht1 (projektiert);20;20;20;percent;high;Percentage of projects (i.e. apartments) that are not realized: scheduled, other
-projects;pro_not_submitted;map.nicht2 (eingereicht);0;0;0;percent;high;Percentage of projects (i.e. apartments) that are not realized: submitted
-projects;pro_not_approved;map.nicht3 (bewilligt);0;0;0;percent;high;Percentage of projects (i.e. apartments) that are not realized: approved
-projects;pro_not_started;map.nicht4 (Bau begonnen);0;0;0;percent;high;Percentage of projects (i.e. apartments) that are not realized: started
-projects;pro_not_completed;map.nicht5 (fertiggestellt);0;0;0;percent;high;Percentage of projects (i.e. apartments) that are not realized: completed
-projects;pro_not_onhold;map.nicht6 (sistiert);10;10;10;percent;high;Percentage of projects (i.e. apartments) that are not realized: on hold
-ownership;own_prop_trend;ea.anteil.trend;50;50;50;percent;low;"ownership: trend in addition to the mean; 20% means, 20% of the difference between trend and mean is added to the mean."
-ownership;own_thres_percent;ea.grenze.prozent;20;20;20;percent;low;"ownership: It is not realistic that the proportion changes dramatically (i.e. tenfold increase). Therefore, this threshold regulates the range of potential proportions (change in percent of mean; e.g. +/- 20%)."
-ownership;own_window_thres;ea.window.szen;7;7;7;years;low;ownership: filter over years (to smooth a potential break in the curve due to range of future proportions
-ownership;own_lower_thres;no parameter in previous model;0;0;0;percent;no parameter;ownership: lower threshold for the proportions (here: the proportions should not be negative), NA if there is no lower threshold
-ownership;own_upper_thres;no parameter in previous model;100;100;100;percent;no parameter;ownership: lower threshold for the proportions (here: the proportions should not be more than 100 percent), NA if there is no lower threshold
-housing model;car_coop;similar to wohn.modell.typ;100;100;100;percent;low;Percentage of cooperative housing can be used from capacity/reserves (car_coop = 100), or from the trends in the districts (car_coop = 0) or a mixture of both data sources. In other words: car_coop = percentage used from capacity/reserves.
-housing model;car_trust;no parameter in previous model;0;0;0;percent;high;If the amount of people according to the project list exceeds the population (in a given year!) according to capacity/reserves: trust the capacity/reserves number (parameter = 100%)? Or the project list (parameter = 0%)?
-housing model;car_max_trust;no parameter in previous model;100;100;100;percent;high;If the amount of people exceeds the maximum (over all years!) according to capacity/reserves: trust the capacity/reserves population (parameter = 100%)? Or the calculated population (parameter = 0%)? Idea: not more people than population according to reserves usage
-housing model;empty_coop;similar to wohn.modell.anteil.leerwhg;0;0;0;percent;low;Percentage of empty apartments: cooperative housing
-housing model;empty_private;similar to wohn.modell.anteil.leerwhg;0;0;0;percent;low;Percentage of empty apartments: private housing
-demography and housing model;less_ims;similar to mod.ant.zuz (in the previous model only one parameter for both situations: less or more living space available);75;75;75;percent;high;less living space available (according to reserves, compared to trend calcuation). Then immigration* is decreased, and emigration* increased. This parameter determines how much of the difference is compensated by changes of immigration* (the remainder is corrected with emigration*)
-demography and housing model;more_ims;similar to mod.ant.zuz (in the previous model only one parameter for both situations: less or more living space available);50;50;50;percent;high;more living space available (according to reserves, compared to trend calcuation). Then immigration* is increased, and emigration* decreased. This parameter determines how much of the difference is compensated by changes of immigration* (the remainder is corrected with emigration*)
-demography and housing model;deh_span;no parameter in previous model;0.04;0.04;0.04;no unit;medium;"in future population: proportion of data points used in the LOESS regressions by age; groups: district, year, sex, origin"
-output;basis_fact;no parameter in previous model;1;1;1;no unit;no parameter;value for field BasisSzenarienCd in DWH for factual values from the past
-output;basis_scen;no parameter in previous model;2;2;2;no unit;no parameter;value for field BasisSzenarienCd in DWH for calculated scenario values
diff --git a/data_freeze/2_Data/3_Parameter/variables.yml b/data_freeze/2_Data/3_Parameter/variables.yml
deleted file mode 100644
index e31dd47a..00000000
--- a/data_freeze/2_Data/3_Parameter/variables.yml
+++ /dev/null
@@ -1,134 +0,0 @@
-# plots -----------------------------------------------------------
-pdf_output: FALSE
-
-
-# Paths -----------------------------------------------------------
-# path for code
-code_path: !expr paste0(here::here(), "/1_Code/")
-
-# path for data
-data_path: !expr paste0(here::here(), "/2_Data/")
-
-# log file
-log_file: !expr paste0(here::here(), "/2_Data/6_Log/log.txt")
-
-# temporary path (since data not on open data yet)
-car_path: !expr paste0(here::here(), "/2_Data/1_Input/KaReB.csv")
-
-# path for results (graphics)
-res_path: !expr paste0(here::here(), "/3_Results/")
-
-# path for exports (rates)
-exp_path: "4_Rates/"
-
-# path for outputs (future: population and demographic processes)
-out_path: "5_Outputs/"
-
-# district file
-dis_file: "/2_Data/2_Lookup/lookupDistrict.csv"
-
-# parameter file
-para_file: "/2_Data/3_Parameter/parameter.csv"
-
-# output path for quarto book
-book_path: "/3_Results/book"
-
-
-# values -----------------------------------------------------------
-# capacity, reserves (car)
-car_initial: ["Kapazitaet", "Bestand", "Reserve", "Inanspruchnahme"]
-car_category: ["capacity", "buildings", "reserve", "usage"]
-
-# project status
-pro_initial: ["projektiert, Infoplan", "projektiert, andere", "eingereicht", "bewilligt", "Bau begonnen", "fertiggestellt", "sistiert"]
-pro_category: ["scheduled, Infoplan", "scheduled, other", "submitted", "approved", "construction started", "completed", "on hold"]
-
-
-# unique levels -----------------------------------------------------------
-
-# sex
-text_s: ["male", "female"]
-
-# origin
-text_o: ["Swiss", "foreign"]
-
-# region
-text_r: ["Zurich", "Switzerland"]
-
-# residence portion
-text_e: ["minimum portion", "real portion", "maximum portion"]
-
-# plot construction
-text_p: ["with plot construction", "without plot construction"]
-
-# property owner
-text_w: ["cooperative housing", "private housing"]
-
-# indicator (new or removed apartments)8
-text_i: ["new", "removed"]
-
-# past and scenarios
-text_c: ["past", "lower", "middle", "upper"]
-
-
-# categories (t = text) and associated lookup tables ----------------------
-# age category 1
-age_1: [30, 40]
-age_1t: ["0-29", "30-39", "40-49"]
-
-# age category 2
-age_2: !expr seq(25, 40, by = 5)
-age_2t: ["15-24", "25-29", "30-34", "35-39", "40-49"]
-
-# age category 3
-age_3: !expr seq(0, 90, by = 10)
-age_3t: ["0-9", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69", "70-79", "80-89", "90+"]
-
-# age category 4
-age_4: !expr seq(0, 80, by = 20)
-age_4t: ["0-19", "20-39", "40-59", "60-79", "80+"]
-
-
-# colors, graphics --------------------------------------------------------
-# colors (e.g. for sex, origin)
-col_6: ["#005CA9", "#83072A", "#EB5E04", "#FBBA00", "#007229", "#9B9B9B"]
-
-# grey
-col_grey: "grey90"
-
-
-# open data (od) ----------------------------------------------------------
-
-# population (pop)
-pop_od: "https://data.stadt-zuerich.ch/dataset/80d5c8af-b389-41d2-b6d8-d0deb1639f00/resource/b2abdef7-3e3f-4883-8033-6787a1561987/download/bev390od3903.csv"
-
-# birth (bir)
-bir_od: "https://data.stadt-zuerich.ch/dataset/aef0654e-1691-49a2-b5fd-2fb220b78bfd/resource/6b066954-c9ce-4438-be0a-6ab01b3e525b/download/bev570od5702.csv"
-
-# death (dea)
-dea_od: "https://data.stadt-zuerich.ch/dataset/bev_todesfaelle_jahr_alter_geschlecht_herkunft_quartier_od5703/download/BEV570OD5703.csv"
-
-# death (dea, data of the Federal Statistical Office FSO)
-dea_fso_od: "https://data.stadt-zuerich.ch/dataset/bfs_bev_sterberaten_jahr_alter_geschlecht_herkunft_od5708/download/BEV570OD5708.csv"
-
-# immigration (imm)
-# migration in the City of Zurich; across the city border
-imm_od: "https://data.stadt-zuerich.ch/dataset/bev_zuz_jahr_quartier_alter_geschlecht_herkunft_od5704/download/BEV570OD5704.csv"
-
-# emigration (emi)
-# migration out of the City of Zurich; across the city border
-emi_od: "https://data.stadt-zuerich.ch/dataset/bev_wegz_jahr_quartier_alter_geschlecht_herkunft_od5705/download/BEV570OD5705.csv"
-
-# relocation (rel)
-# migration within the City of Zurich; inside the city border
-rel_od: "https://data.stadt-zuerich.ch/dataset/bev_umzuege_jahr_quartier_alter_geschlecht_herkunft_od5706/download/BEV570OD5706.csv"
-
-# naturalization (nat)
-# on the open data platform the data consist both of naturalization and denaturalization
-nat_od: "https://data.stadt-zuerich.ch/dataset/bev_brw_jahr_alter_geschlecht_herkunft_quartier_od5707/download/BEV570OD5707.csv"
-
-# living space (spa)
-spa_od: "https://data.stadt-zuerich.ch/dataset/bau_best_whg_geb_gebmwhg_wfl_pers_statzone_jahr_od6981/download/BAU698OD6981.csv"
-
-# population scenarios on open data (sce)
-sce_od: "https://data.stadt-zuerich.ch/dataset/bev_szenarien_od3440/download/BEV344OD3440.csv"