Global Polynomial Interpolation and IDW Tools
Global Polynomial Interpolation
أداة الاستيفاء متعدد الحدود العالمي
ArcMap ArcGIS
How to use Global
Polynomial Interpolation Tool in ArcToolbox ArcMap ArcGIS??
كيفية استخدام أداة الاستيفاء متعدد الحدود العالمي ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Global
Polynomial Interpolation Tool, Interpolation Toolset,
Geostatistical Analyst Tools Toolbox
Global Polynomial Interpolation
Fits a smooth surface
that is defined by a mathematical function (a polynomial) to the input sample
points.
يناسب السطح الأملس المحدد بواسطة دالة رياضية
(كثير الحدود) لنقاط عينة الإدخال.
1.
Input features أدخل المعالم
The input point features
containing the z-values to be interpolated.
معالم نقطة الإدخال التي تحتوي على قيم z
المطلوب استكمالها.
Z value
field
Field that holds a height or magnitude value for each point. This can be a
numeric field or the Shape field if the input features contain z-values or
m-values.
Output geostatistical
layer (optional)
The geostatistical layer produced. This layer is required output only if
no output raster is requested.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Order of
polynomial (optional)
The order of the polynomial.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
2.
Z value field حقل قيمة الإرتفاع
Field that holds a
height or magnitude value for each point. This can be a numeric field or the
Shape field if the input features contain z-values or m-values.
الحقل الذي يحتوي على قيمة ارتفاع أو مقدار لكل
نقطة. يمكن أن يكون هذا حقلاً رقميًا أو حقل الشكل إذا كانت ميزات الإدخال تحتوي
على قيم z أو قيم m.
Output
geostatistical layer (optional)
The geostatistical layer produced. This layer is required output only if
no output raster is requested.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Order of
polynomial (optional)
The order of the polynomial.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
3.
Output geostatistical layer (optional) طبقة إحصائية الإخراج (اختياري)
The geostatistical layer
produced. This layer is required output only if no output raster is requested.
أنتجت الطبقة الجيوإحصائية. هذه الطبقة مطلوبة فقط
في حالة عدم طلب الناتج النقطي.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Order of
polynomial (optional)
The order of the polynomial.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
4.
Output raster (optional) النقطية المخرجة
(اختياري)
The output raster. This
raster is required output only if no output geostatistical layer is requested.
النقطية الإخراج. مطلوب إخراج هذا النقطية فقط في
حالة عدم طلب طبقة إحصائية جغرافية ناتجة.
Output cell
size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Order of
polynomial (optional)
The order of the polynomial.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
5.
Output cell size (optional) حجم
خلية الإخراج (اختياري)
The cell size at which
the output raster will be created.
This value can be
explicitly set under Raster Analysis from the Environment Settings.
If not set, it is the
shorter of the width or the height of the extent of the input point features,
in the input spatial reference, divided by 250.
حجم الخلية التي سيتم إنشاء البيانات النقطية
للإخراج بها.
يمكن تعيين هذه القيمة بشكل صريح ضمن تحليل
البيانات النقطية من إعدادات البيئة.
إذا لم يتم تعيينه ، فهو أقصر عرض أو ارتفاع مدى
معالم نقطة الإدخال ، في الإسناد المكاني للإدخال ، مقسومًا على 250.
Order of
polynomial (optional)
The order of the polynomial.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
6.
Order of polynomial (optional) ترتيب
كثير الحدود (اختياري)
The order of the
polynomial.
ترتيب كثير الحدود.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
7.
Weight field (optional) حقل الوزن
(اختياري)
Used to emphasize an
observation. The larger the weight, the more impact it has on the prediction.
For coincident observations, assign the largest weight to the most reliable measurement.
تستخدم للتأكيد على الملاحظة. كلما زاد الوزن ،
زاد تأثيره على التنبؤ. بالنسبة للملاحظات المتزامنة ، قم بتعيين الوزن الأكبر
للقياس الأكثر موثوقية.
IDW
أداة وزن معكوس المسافة
ArcMap ArcGIS
How to use IDW Tool in ArcToolbox ArcMap ArcGIS??
كيفية استخدام أداة وزن معكوس المسافة ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
IDW Tool, Interpolation Toolset, Geostatistical Analyst
Tools Toolbox
IDW
Uses the measured values
surrounding the prediction location to predict a value for any unsampled
location, based on the assumption that things that are close to one another are
more alike than those that are farther apart.
يستخدم القيم المُقاسة المحيطة بموقع التنبؤ
للتنبؤ بقيمة أي موقع غير مستند إلى عينات ، بناءً على افتراض أن الأشياء القريبة
من بعضها البعض أكثر تشابهًا من تلك البعيدة عن بعضها.
Input
features
The input point features containing the z-values to be interpolated.
Z value
field
Field that holds a height or magnitude value for each point. This can be a
numeric field or the Shape field if the input features contain z-values or
m-values.
Output
geostatistical layer (optional)
The geostatistical layer produced. This layer is required output only if
no output raster is requested.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Power
(optional)
The exponent of distance that controls the significance of surrounding
points on the interpolated value. A higher power results in less influence from
distant points.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
1.
Input features أدخل المعالم
The input point features
containing the z-values to be interpolated.
معالم نقطة الإدخال التي تحتوي على قيم z
المطلوب استكمالها.
Z value
field
Field that holds a height or magnitude value for each point. This can be a
numeric field or the Shape field if the input features contain z-values or
m-values.
Output
geostatistical layer (optional)
The geostatistical layer produced. This layer is required output only if
no output raster is requested.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the Environment
Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Power
(optional)
The exponent of distance that controls the significance of surrounding
points on the interpolated value. A higher power results in less influence from
distant points.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but inside
the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
2.
Z value field حقل قيمة الإرتفاع
Field that holds a
height or magnitude value for each point. This can be a numeric field or the
Shape field if the input features contain z-values or m-values.
الحقل الذي يحتوي على قيمة ارتفاع أو مقدار لكل
نقطة. يمكن أن يكون هذا حقلاً رقميًا أو حقل الشكل إذا كانت ميزات الإدخال تحتوي
على قيم z أو قيم m.
Output
geostatistical layer (optional)
The geostatistical layer produced. This layer is required output only if
no output raster is requested.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Power
(optional)
The exponent of distance that controls the significance of surrounding
points on the interpolated value. A higher power results in less influence from
distant points.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
3.
Output geostatistical layer (optional) طبقة إحصائية الإخراج (اختياري)
The geostatistical layer
produced. This layer is required output only if no output raster is requested.
أنتجت الطبقة الجيوإحصائية. هذه الطبقة مطلوبة فقط
في حالة عدم طلب الناتج النقطي.
Output
raster (optional)
The output raster. This raster is required output only if no output
geostatistical layer is requested.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Power
(optional)
The exponent of distance that controls the significance of surrounding
points on the interpolated value. A higher power results in less influence from
distant points.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis (ellipse)
of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
4.
Output raster (optional) النقطية
المخرجة (اختياري)
The output raster. This
raster is required output only if no output geostatistical layer is requested.
النقطية الإخراج. مطلوب إخراج هذا النقطية فقط في
حالة عدم طلب طبقة إحصائية جغرافية ناتجة.
Output
cell size (optional)
The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the
Environment Settings.
If not set, it is the shorter of the width or the height of the extent of
the input point features, in the input spatial reference, divided by 250.
Power
(optional)
The exponent of distance that controls the significance of surrounding
points on the interpolated value. A higher power results in less influence from
distant points.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
5.
Output cell size (optional) حجم
خلية الإخراج (اختياري)
The cell size at which
the output raster will be created.
This value can be
explicitly set under Raster Analysis from the Environment Settings.
If not set, it is the
shorter of the width or the height of the extent of the input point features,
in the input spatial reference, divided by 250.
حجم الخلية التي سيتم إنشاء البيانات النقطية
للإخراج بها.
يمكن تعيين هذه القيمة بشكل صريح ضمن تحليل
البيانات النقطية من إعدادات البيئة.
إذا لم يتم تعيينه ، فهو أقصر عرض أو ارتفاع مدى
معالم نقطة الإدخال ، في الإسناد المكاني للإدخال ، مقسومًا على 250.
Power
(optional)
The exponent of distance that controls the significance of surrounding
points on the interpolated value. A higher power results in less influence from
distant points.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
6.
Power (optional) قوة (اختياري)
The exponent of distance
that controls the significance of surrounding points on the interpolated value.
A higher power results in less influence from distant points.
أس المسافة الذي يتحكم في أهمية النقاط المحيطة
على القيمة المحرف. ينتج عن القوة الأعلى تأثير أقل من النقاط البعيدة.
Search
neighborhood (optional)
Defines which surrounding points will be used to control the output.
Standard is the default.
Standard
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth
· Major semiaxis—The major semiaxis value of the searching neighborhood.
· Minor semiaxis—The minor semiaxis value of the searching neighborhood.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Standard Circular
· Radius—The length of the radius of the search circle.
· Angle—The angle of rotation for the axis (circle) or semimajor axis
(ellipse) of the moving window.
· Maximum neighbors—The maximum number of neighbors that will be used to
estimate the value at the unknown location.
· Minimum neighbors—The minimum number of neighbors that will be used to
estimate the value at the unknown location.
· Sector type—The geometry of the neighborhood.
o One sector—Single ellipse.
o Four sectors—Ellipse divided into four sectors.
o Four sectors shifted—Ellipse divided into four sectors and shifted 45
degrees.
o Eight sectors—Ellipse divided into eight sectors.
Smooth Circular
· Radius—The length of the radius of the search circle.
· Smoothing factor—The Smooth Interpolation option creates an outer ellipse
and an inner ellipse at a distance equal to the Major Semiaxis multiplied by
the Smoothing factor. The points that fall outside the smallest ellipse but
inside the largest ellipse are weighted using a sigmoidal function with a value
between zero and one.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
7.
Search neighborhood (optional) البحث
في الحي (اختياري)
يحدد النقاط المحيطة التي سيتم استخدامها للتحكم
في الإخراج. المعيار هو الافتراضي.
اساسي
• المحور الرئيسي -
القيمة المحورية الرئيسية لحي البحث.
• المحاور الصغرى -
القيمة المحورية الصغرى لحي البحث.
• الزاوية - زاوية
الدوران للمحور (الدائرة) أو المحور شبه الرئيسي (القطع الناقص) للنافذة المتحركة.
• الحد الأقصى من الجيران
- الحد الأقصى لعدد الجيران الذي سيتم استخدامه لتقدير القيمة في موقع غير معروف.
• الحد الأدنى من الجيران
- الحد الأدنى لعدد الجيران الذي سيتم استخدامه لتقدير القيمة في موقع غير معروف.
• نوع القطاع - هندسة
الحي.
o قطاع
واحد - قطع ناقص مفرد.
o أربعة
قطاعات - Ellipse مقسمة إلى أربعة قطاعات.
o أربعة
قطاعات متغيرة — Ellipse مقسمة إلى أربعة قطاعات
ومزاحة 45 درجة.
o
ثمانية قطاعات - Ellipse مقسمة إلى ثمانية
قطاعات.
ناعم
• المحور الرئيسي -
القيمة المحورية الرئيسية لحي البحث.
• المحاور الصغرى -
القيمة المحورية الصغرى لحي البحث.
• الزاوية - زاوية
الدوران للمحور (الدائرة) أو المحور شبه الرئيسي (القطع الناقص) للنافذة المتحركة.
• عامل التجانس - يُنشئ
خيار الاستيفاء المتجانس شكلًا بيضاويًا خارجيًا وقطعًا داخليًا على مسافة مساوية
لـ Semiaxis الرئيسي مضروبًا في عامل
التنعيم. النقاط التي تقع خارج أصغر شكل بيضاوي ولكن داخل أكبر قطع ناقص يتم
ترجيحها باستخدام دالة سينية بقيمة بين صفر وواحد.
التعميم القياسي
• نصف القطر - طول نصف
قطر دائرة البحث.
• الزاوية - زاوية
الدوران للمحور (الدائرة) أو المحور شبه الرئيسي (القطع الناقص) للنافذة المتحركة.
• الحد الأقصى من الجيران
- الحد الأقصى لعدد الجيران الذي سيتم استخدامه لتقدير القيمة في موقع غير معروف.
• الحد الأدنى من الجيران
- الحد الأدنى لعدد الجيران الذي سيتم استخدامه لتقدير القيمة في موقع غير معروف.
• نوع القطاع - هندسة
الحي.
o قطاع
واحد - قطع ناقص مفرد.
o أربعة
قطاعات - Ellipse مقسمة إلى أربعة قطاعات.
o أربعة
قطاعات متغيرة — Ellipse مقسمة إلى أربعة قطاعات
ومزاحة 45 درجة.
o
ثمانية قطاعات - Ellipse مقسمة إلى ثمانية
قطاعات.
دائري ناعم
• نصف القطر - طول نصف
قطر دائرة البحث.
• عامل التجانس - يُنشئ
خيار الاستيفاء المتجانس شكلًا بيضاويًا خارجيًا وقطعًا داخليًا على مسافة مساوية
لـ Semiaxis الرئيسي مضروبًا في عامل
التنعيم. النقاط التي تقع خارج أصغر شكل بيضاوي ولكن داخل أكبر قطع ناقص يتم
ترجيحها باستخدام دالة سينية بقيمة بين صفر وواحد.
Weight
field (optional)
Used to emphasize an observation. The larger the weight, the more impact
it has on the prediction. For coincident observations, assign the largest
weight to the most reliable measurement.
8.
Weight field (optional) حقل الوزن
(اختياري)
Used to emphasize an
observation. The larger the weight, the more impact it has on the prediction.
For coincident observations, assign the largest weight to the most reliable
measurement.
تستخدم للتأكيد على الملاحظة. كلما زاد الوزن ،
زاد تأثيره على التنبؤ. بالنسبة للملاحظات المتزامنة ، قم بتعيين الوزن الأكبر
للقياس الأكثر موثوقية.
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هنا.
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GIS for WE من
هنا.
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