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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)

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