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NAME

       t.rast.algebra   -  Apply  temporal  and  spatial operations on space time raster datasets using temporal
       raster algebra.

KEYWORDS

       temporal, algebra, raster, time

SYNOPSIS

       t.rast.algebra
       t.rast.algebra --help
       t.rast.algebra  [-sngd]  expression=string  basename=string   [nprocs=integer]    [--help]    [--verbose]
       [--quiet]  [--ui]

   Flags:
       -s
           Check the spatial topology of temporally related maps and process only spatially related maps

       -n
           Register Null maps

       -g
           Use granularity sampling instead of the temporal topology approach

       -d
           Perform a dry run, compute all dependencies and module calls but don’t run them

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       expression=string [required]
           r.mapcalc expression for temporal and spatial analysis of space time raster datasets

       basename=string [required]
           Basename of the new generated output maps
           A numerical suffix separated by an underscore will be attached to create a unique identifier

       nprocs=integer
           Number of r.mapcalc processes to run in parallel
           Default: 1

DESCRIPTION

       t.rast.algebra performs temporal and spatial map algebra operations on space time raster datasets (STRDS)
       using the temporal raster algebra.

   PROGRAM USE
       The module expects an expression as input parameter in the following form:

       "result = expression"

       The statement structure is similar to that of r.mapcalc.  In this statement, result represents  the  name
       of the space time raster dataset (STRDS) that will contain the result of the calculation that is given as
       expression on the right side of the equality  sign.   These  expressions  can  be  any  valid  or  nested
       combination  of  temporal  operations  and  spatial  overlay or buffer functions that are provided by the
       temporal algebra.

       The temporal raster algebra works only with space time raster  datasets  (STRDS).  The  algebra  provides
       methods  for  map  selection  based  on their temporal relations. It is also possible to temporally shift
       maps, to create temporal buffer and  to  snap  time  instances  to  create  a  valid  temporal  topology.
       Furthermore,  expressions  can  be  nested and evaluated in conditional statements (if, else statements).
       Within if-statements, the algebra provides temporal variables like start time, end  time,  day  of  year,
       time differences or number of maps per time interval to build up conditions.
       In  addition the algebra provides a subset of the spatial operations from r.mapcalc. All these operations
       can be assigned to STRDS or to the map lists resulting of operations between STRDS.

       By default, only temporal topological relations among space time datasets (STDS) are  evaluated.  The  -s
       flag  can  be  used  to additionally activate the evaluation of the spatial topology based on the spatial
       extent of maps.

       The expression option must be passed as quoted expression, for example:
       t.rast.algebra expression="C = A + B" basename=result
       Where C is the new space time raster dataset that will contain maps with  the  basename  "result"  and  a
       numerical  suffix  separated  by  an  underscore  that  represent  the  sum  of maps from the STRDS A and
       temporally equal maps (i.e., maps with equal temporal topology relation) from the STRDS B.

       The map basename for the result STRDS must always be specified.

TEMPORAL RASTER ALGEBRA

       The temporal algebra provides a wide range of temporal operators and functions that will be presented  in
       the following section.

   TEMPORAL RELATIONS
       Several temporal topology relations are supported between maps registered in space time datasets:
       equals            A ------
                         B ------
       during            A  ----
                         B ------
       contains          A ------
                         B  ----
       starts            A ----
                         B ------
       started           A ------
                         B ----
       finishs           A   ----
                         B ------
       finished          A ------
                         B   ----
       precedes          A ----
                         B     ----
       follows           A     ----
                         B ----
       overlapped        A   ------
                         B ------
       overlaps          A ------
                         B   ------
       over              booth overlaps and overlapped
       The relations must be read as: A is related to B, like - A equals B - A is during B - A contains B.

       Topological relations must be specified with curly brackets {}.

   TEMPORAL OPERATORS
       The  temporal  algebra  defines  temporal  operators that can be combined with other operators to perform
       spatio-temporal operations.  The temporal operators process the  time  instances  and  intervals  of  two
       temporally related maps and calculate the resulting temporal extent in five possible different ways.
       LEFT REFERENCE     l       Use the time stamp of the left space time dataset
       INTERSECTION       i       Intersection
       DISJOINT UNION     d       Disjoint union
       UNION              u       Union
       RIGHT REFERENCE    r       Use the time stamp of the right space time dataset

   TEMPORAL SELECTION
       The  temporal  selection  simply  selects  parts of a space time dataset without processing any raster or
       vector data. The algebra provides a selection operator : that by default selects parts of  a  space  time
       dataset that are temporally equal to parts of a second space time dataset. The following expression
       C = A : B
       means:  select all parts of space time dataset A that are equal to B and store them in space time dataset
       C. These parts are time stamped maps.

       In addition, the inverse selection operator !: is defined as the complement of  the  selection  operator,
       hence the following expression
       C = A !: B
       means: select all parts of space time time dataset A that are not equal to B and store them in space time
       dataset C.

       To select parts of a STRDS using different topological relations regarding to other STRDS,  the  temporal
       topology  selection  operator can be used. This operator consists of the temporal selection operator, the
       topological relations that must be separated by the logical  OR  operator  |  and,  the  temporal  extent
       operator.  All three parts are separated by comma and surrounded by curly brackets as follows: {"temporal
       selection operator", "topological relations", "temporal operator"}.

       Examples:
       C = A {:,equals} B
       C = A {!:,equals} B
       We can now define arbitrary topological relations using the OR operator "|" to connect them:
       C = A {:,equals|during|overlaps} B
       Select all parts of A that are equal to B, during B or overlaps B.
       In addition, we can define the temporal extent of the resulting STRDS by adding the temporal operator.
       C = A {:,during,r} B
       Select all parts of A that are during B and use the temporal extents from B for C.
       The selection operator is implicitly contained in the temporal topology selection operator, so  that  the
       following statements are exactly the same:
       C = A : B
       C = A {:} B
       C = A {:,equal} B
       C = A {:,equal,l} B
       Same for the complementary selection:
       C = A !: B
       C = A {!:} B
       C = A {!:,equal} B
       C = A {!:,equal,l} B

   CONDITIONAL STATEMENTS
       Selection  operations  can  be evaluated within conditional statements as showed below. Note that A and B
       can be either space time datasets or expressions. The temporal relationship between  the  conditions  and
       the  conclusions  can  be defined at the beginning of the if statement (third and fourth examples below).
       The relationship between then and else conclusion must be always equal.
       if statement                        decision option                        temporal relations
         if(if, then, else)
         if(conditions, A)                   A if conditions are True;              temporal topological relation between if and then is equal.
         if(conditions, A, B)                A if conditions are True, B otherwise; temporal topological relation between if, then and else is equal.
         if(topologies, conditions, A)       A if conditions are True;              temporal topological relation between if and then is explicitly specified by topologies.
         if(topologies, conditions, A, B)    A if conditions are True, B otherwise; temporal topological relation between if, then and else is explicitly specified by topologies.
       The conditions are comparison expressions that are used to evaluate space time datasets. Specific  values
       of temporal variables are compared by logical operators and evaluated for each map of the STRDS.
       Important: The conditions are evaluated from left to right.

   Logical operators
       Symbol  description
         ==    equal
         !=    not equal
         >     greater than
         >=    greater than or equal
         <     less than
         <=    less than or equal
         &&    and
         ||    or

   Temporal functions
       The following temporal functions are evaluated only for the STDS that must be given in parenthesis.
       td(A)                    Returns a list of time intervals of STDS A
       start_time(A)            Start time as HH::MM:SS
       start_date(A)            Start date as yyyy-mm-DD
       start_datetime(A)        Start datetime as yyyy-mm-DD HH:MM:SS
       end_time(A)              End time as HH:MM:SS
       end_date(A)              End date as yyyy-mm-DD
       end_datetime(A)          End datetime as  yyyy-mm-DD HH:MM
       start_doy(A)             Day of year (doy) from the start time [1 - 366]
       start_dow(A)             Day of week (dow) from the start time [1 - 7], the start of the week is Monday == 1
       start_year(A)            The year of the start time [0 - 9999]
       start_month(A)           The month of the start time [1 - 12]
       start_week(A)            Week of year of the start time [1 - 54]
       start_day(A)             Day of month from the start time [1 - 31]
       start_hour(A)            The hour of the start time [0 - 23]
       start_minute(A)          The minute of the start time [0 - 59]
       start_second(A)          The second of the start time [0 - 59]
       end_doy(A)               Day of year (doy) from the end time [1 - 366]
       end_dow(A)               Day of week (dow) from the end time [1 - 7], the start of the week is Monday == 1
       end_year(A)              The year of the end time [0 - 9999]
       end_month(A)             The month of the end time [1 - 12]
       end_week(A)              Week of year of the end time [1 - 54]
       end_day(A)               Day of month from the start time [1 - 31]
       end_hour(A)              The hour of the end time [0 - 23]
       end_minute(A)            The minute of the end time [0 - 59]
       end_second(A)            The second of the end time [0 - 59]

   Comparison operator
       As  mentioned  above,  the  conditions  are  comparison  expressions that are used to evaluate space time
       datasets. Specific values of temporal variables are compared by logical operators and evaluated for  each
       map  of  the  STDS  and (optionally) related maps.  For complex relations, the comparison operator can be
       used to combine conditions.
       The structure is  similar  to  the  select  operator  with  the  addition  of  an  aggregation  operator:
       {"comparison operator", "topological relations", aggregation operator, "temporal operator"}
       This aggregation operator (| or &) defines the behaviour when a map is related to more than one map, e.g.
       for the topological relation ’contains’.  Should all (&) conditions for the related maps be true or is it
       sufficient  to  have  any (|) condition that is true. The resulting boolean value is then compared to the
       first condition by the comparison operator (|| or &&).  By default, the aggregation operator  is  related
       to the comparison operator:
       comparison operator -> aggregation operator:
       || -> | and && -> &
       Examples:
       Condition 1 {||, equal, r} Condition 2
       Condition 1 {&&, equal|during, l} Condition 2
       Condition 1 {&&, equal|contains, |, l} Condition 2
       Condition 1 {&&, equal|during, l} Condition 2 && Condition 3
       Condition 1 {&&, equal|during, l} Condition 2 {&&,contains, |, r} Condition 3

   Hash operator
       Additionally, the number of maps in intervals can be computed and used in conditional statements with the
       hash (#) operator.
       A {#, contains} B
       This expression computes the number of maps from space time dataset B which are during the time intervals
       of maps from space time dataset A.
       A list of integers (scalars) corresponding to the maps of A that contain maps from B will be returned.
       C = if({equal}, A {#, contains} B > 2, A {:, contains} B)
       This expression selects all maps from A that temporally contain at least 2 maps from B and stores them in
       space time dataset C. The leading equal statement in the if condition  specifies  the  temporal  relation
       between the if and then part of the if expression. This is very important, so we do not need to specify a
       global time reference (a space time dataset) for temporal processing.

       Furthermore, the temporal algebra allows temporal buffering, shifting and  snapping  with  the  functions
       buff_t(), tshift() and tsnap(), respectively.
       buff_t(A, size)         Buffer STDS A with granule ("1 month" or 5)
       tshift(A, size)         Shift STDS A with granule ("1 month" or 5)
       tsnap(A)                Snap time instances and intervals of STDS A

   Single map with temporal extent
       The temporal algebra can also handle single maps with time stamps in the tmap() function.
       tmap()
       For example:
       C = A {:, during} tmap(event)
       This  statement  selects  all  maps from space time data set A that are during the temporal extent of the
       single map ’event’

   Spatial raster operators
       The module supports the following raster operations:
       Symbol  description     precedence
         %     modulus         1
         /     division        1
         *     multiplication  1
         +     addition        2
         -     subtraction     2
       And raster functions:
       abs(x)                  return absolute value of x
       float(x)                convert x to foating point
       int(x)                  convert x to integer [ truncates ]
       log(x)                  natural log of x
       sqrt(x)                 square root of x
       tan(x)                  tangent of x (x is in degrees)
       round(x)       round x to nearest integer
       sin(x)              sine of x (x is in degrees)
       isnull(x)               check if x = NULL
       isntnull(x)             check if x is not NULL
       null                    set null value
       exist(x)                Check if x is in the current mapset

   Single raster map
       The temporal raster algebra features also a function to integrate single raster maps without time  stamps
       into the expressions.
       map()
       For example:
       C = A * map(constant_value)
       This  statement  multiplies  all  raster  maps  from  space  time  raster  data set A with the raster map
       ’constant_value’

   Combinations of temporal, raster and select operators
       The user can combine the temporal topology relations,  the  temporal  operators  and  the  spatial/select
       operators to create spatio-temporal operators as follows:
       {"spatial or select operator", "list of temporal relations", "temporal operator"}
       For multiple topological relations or several related maps the spatio-temporal operators feature implicit
       aggregation.  The algebra evaluates the stated STDS by their temporal  topologies  and  apply  the  given
       spatio-temporal  operators  in a aggregated form.  If we have two STDS A and B, B has three maps: b1, b2,
       b3 that are all during the temporal extent of the single map a1  of  A,  then  the  following  arithmetic
       calculations would implicitly aggregate all maps of B into one result map for a1 of A:
        C = A {+, contains} B --> c1 = a1 + b1 + b2 + b3

       Important: the aggregation behaviour is not symmetric
        C = B {+, during} A --> c1 = b1 + a1
                                c2 = b2 + a1
                                c3 = b3 + a1

   Temporal neighbourhood modifier
       The  neighbourhood  modifier  of  r.mapcalc is extended for the temporal raster algebra with the temporal
       dimension. The format is strds[t,r,c], where t is the temporal offset, r is the row offset and c  is  the
       column offset.
       strds[2]
       Refers to the second successor of the current map
       strds[1,2]
       Refers to the cell one row below and two columns to the right of the current cell in the current map
       strds[1,-2,-1]
       Refers  to  the cell two rows above and one column to the left of the current cell of the first successor
       map
       strds[-2,0,1]
       Refers to the cell one column to the right of the current cell in the second predecessor map.

EXAMPLES

       Sum maps from STRDS A with maps from STRDS B which have equal time stamps and are temporally before  Jan.
       1. 2005 and store them in STRDS D:
       D = if(start_date(A) < "2005-01-01", A + B)
       Create the sum of all maps from STRDS A and B that have equal time stamps and store the new maps in STRDS
       C:
       C = A + B
       Same expression with explicit definition of the temporal topology relation and temporal operators:
       C = A {+,equal,l} B
       Select all cells from STRDS B with equal temporal relations to STRDS A, if the cells  of  A  are  in  the
       range [100.0, 1600] of time intervals that have more than 30 days (Jan, Mar, May, Jul, Aug, Oct, Dec):
       C = if(A > 100 && A < 1600 && td(A) > 30, B)
       Same expression with explicit definition of the temporal topology relation and temporal operators:
       C = if({equal}, A > 100 && A < 1600 {&&,equal} td(A) > 30, B)
       Compute  the  recharge  in  meters  per  second  for  all cells of precipitation STRDS "Prec" if the mean
       temperature specified in STRDS "Temp" is higher than 10 degrees. Computation is performed if STRDS "Prec"
       and  "Temp" have equal time stamps. The number of days or fraction of days per interval is computed using
       the td() function that has as argument the STRDS "Prec":
       C = if(Temp > 10.0, Prec / 3600.0 / 24.0 / td(Prec))
       Same expression with explicit definition of the temporal topology relation and temporal operators:
       C = if({equal}, Temp > 10.0, Prec / 3600.0 / 24.0 {/,equal,l} td(Prec))
       Compute the mean value of all maps from STRDS A that are located during time intervals of STRDS B if more
       than  one  map  of  A is contained in an interval of B, use A otherwise. The resulting time intervals are
       either from B or A:
       C = if(B {#,contain} A > 1, (B {+,contain,l} A - B) / (B {#,contain} A), A)
       Same expression with explicit definition of the temporal topology relation and temporal operators:
       C = if({equal}, B {#,contain} A > 1, (B {+,contain,l} A {-,equal,l} B) {equal,=/} (B {#,contain} A), A)

SEE ALSO

        r.mapcalc, t.vect.algebra, t.rast3d.algebra, t.select, t.rast3d.mapcalc, t.rast.mapcalc

       Temporal data processing Wiki

REFERENCES

       PLY(Python-Lex-Yacc)

AUTHORS

       Thomas Leppelt, Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

       Last changed: $Date: 2018-01-09 18:05:58 +0100 (Tue, 09 Jan 2018) $

SOURCE CODE

       Available at: t.rast.algebra source code (history)

       Main index | Temporal index | Topics index | Keywords index | Graphical index | Full index

       © 2003-2018 GRASS Development Team, GRASS GIS 7.4.0 Reference Manual