Cross Validation and Neighborhood Selection and Subset Features Tools
Cross Validation
أداة عبر التحقق من الصحة
ArcMap ArcGIS
How to use Cross Validation
Tool in Arc Toolbox ArcMap ArcGIS??
كيفية استخدام أداة عبر التحقق من الصحة ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Cross
Validation Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox
Cross Validation
Removes one data
location then predicts the associated data using the data at the rest of the
locations. The primary use for this tool is to compare the predicted value to
the observed value in order to obtain useful information about some of your
model parameters.
يزيل موقع بيانات واحدًا ثم يتنبأ بالبيانات
المرتبطة باستخدام البيانات الموجودة في باقي المواقع. الاستخدام الأساسي لهذه
الأداة هو مقارنة القيمة المتوقعة بالقيمة الملاحظة من أجل الحصول على معلومات
مفيدة حول بعض معلمات النموذج الخاص بك.
1.
Input geostatistical layer إدخال
طبقة إحصائية جغرافية
The geostatistical layer
to be analyzed.
الطبقة الإحصائية المراد تحليلها.
Output
point feature class (optional)
Stores the cross-validation statistics at each location in the
geostatistical layer.
2.
Output point feature class (optional) فئة ميزة نقطة الإخراج (اختياري)
Stores the
cross-validation statistics at each location in the geostatistical layer.
يخزن إحصائيات التحقق المتبادل في كل موقع في طبقة
الإحصاء الجغرافي.
Neighborhood Selection
أداة اختيار الحي
ArcMap ArcGIS
How to use Neighborhood
Selection Tool in Arc Toolbox ArcMap ArcGIS??
كيفية استخدام أداة اختيار الحي ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Neighborhood
Selection Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox
Neighborhood Selection
Creates a layer of
points based on a user-defined neighborhood.
For example, you might
wish to create a selection of points in a circular neighborhood around a
location defined by the Input point. The illustration above demonstrates that
the output will be the 10 points, colored blue, that fall within the circle.
يُنشئ طبقة من النقاط بناءً على الحي الذي يحدده
المستخدم.
على سبيل المثال ، قد ترغب في إنشاء مجموعة مختارة
من النقاط في حي دائري حول موقع محدد بواسطة نقطة الإدخال. يوضح الرسم التوضيحي
أعلاه أن الناتج سيكون النقاط العشر ، باللون الأزرق ، التي تقع داخل الدائرة.
Input
point features
Points used to create a neighborhood selection.
Output
layer
Layer to store the neighborhood selection.
Input
point
The neighborhood center's x,y coordinate.
Maximum
neighbors to include
The number of points to use in each sector. If a sector has the required
number of points, all points in that sector are used.
Include at
least
The minimum number of points to use in each sector. If the minimum number
of required points are not available in any given sector, the nearest available
point outside the sector will be selected.
Minor
semiaxis
Size of the minor semiaxis of the search neighborhood.
Major
semiaxis
Size of the major semiaxis of the search neighborhood.
Angle
The angle of rotation of the neighborhood axis.
Shape type
(optional)
The geometry of the neighborhood.
· ONE_SECTOR — Single ellipse
· FOUR_SECTORS — Ellipse divided into four sectors
· FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45
degrees
· EIGHT_SECTORS — Ellipse divided into eight sectors
1.
Input point features أدخل معالم
النقط
Points used to create a
neighborhood selection.
تستخدم النقاط لإنشاء اختيار الحي.
Output
layer
Layer to store the neighborhood selection.
Input
point
The neighborhood center's x,y coordinate.
Maximum
neighbors to include
The number of points to use in each sector. If a sector has the required
number of points, all points in that sector are used.
Include at
least
The minimum number of points to use in each sector. If the minimum number
of required points are not available in any given sector, the nearest available
point outside the sector will be selected.
Minor
semiaxis
Size of the minor semiaxis of the search neighborhood.
Major
semiaxis
Size of the major semiaxis of the search neighborhood.
Angle
The angle of rotation of the neighborhood axis.
Shape type
(optional)
The geometry of the neighborhood.
· ONE_SECTOR — Single ellipse
· FOUR_SECTORS — Ellipse divided into four sectors
· FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45
degrees
· EIGHT_SECTORS — Ellipse divided into eight sectors
2.
Output layer الطبقة المخرجة
Layer to store the
neighborhood selection.
طبقة لتخزين اختيار الحي.
Input
point
The neighborhood center's x,y coordinate.
Maximum
neighbors to include
The number of points to use in each sector. If a sector has the required
number of points, all points in that sector are used.
Include at
least
The minimum number of points to use in each sector. If the minimum number
of required points are not available in any given sector, the nearest available
point outside the sector will be selected.
Minor
semiaxis
Size of the minor semiaxis of the search neighborhood.
Major
semiaxis
Size of the major semiaxis of the search neighborhood.
Angle
The angle of rotation of the neighborhood axis.
Shape type
(optional)
The geometry of the neighborhood.
· ONE_SECTOR — Single ellipse
· FOUR_SECTORS — Ellipse divided into four sectors
· FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45
degrees
· EIGHT_SECTORS — Ellipse divided into eight sectors
3.
Input point نقطة الإدخال
The neighborhood
center's x,y coordinate.
إحداثيات x و y لمركز
الحي.
Maximum
neighbors to include
The number of points to use in each sector. If a sector has the required
number of points, all points in that sector are used.
Include at
least
The minimum number of points to use in each sector. If the minimum number
of required points are not available in any given sector, the nearest available
point outside the sector will be selected.
Minor
semiaxis
Size of the minor semiaxis of the search neighborhood.
Major
semiaxis
Size of the major semiaxis of the search neighborhood.
Angle
The angle of rotation of the neighborhood axis.
Shape type
(optional)
The geometry of the neighborhood.
· ONE_SECTOR — Single ellipse
· FOUR_SECTORS — Ellipse divided into four sectors
· FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45
degrees
· EIGHT_SECTORS — Ellipse divided into eight sectors
4.
Maximum neighbors to include الحد
الأقصى من الجيران لتضمينها
The number of points to
use in each sector. If a sector has the required number of points, all points
in that sector are used.
عدد النقاط المطلوب استخدامها في كل قطاع. إذا كان
القطاع يحتوي على العدد المطلوب من النقاط ، فسيتم استخدام جميع النقاط في هذا
القطاع.
Include at
least
The minimum number of points to use in each sector. If the minimum number
of required points are not available in any given sector, the nearest available
point outside the sector will be selected.
Minor
semiaxis
Size of the minor semiaxis of the search neighborhood.
Major
semiaxis
Size of the major semiaxis of the search neighborhood.
Angle
The angle of rotation of the neighborhood axis.
Shape type
(optional)
The geometry of the neighborhood.
· ONE_SECTOR — Single ellipse
· FOUR_SECTORS — Ellipse divided into four sectors
· FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45
degrees
· EIGHT_SECTORS — Ellipse divided into eight sectors
5.
Include at least تضمين على الأقل
The minimum number of
points to use in each sector. If the minimum number of required points are not
available in any given sector, the nearest available point outside the sector
will be selected.
الحد الأدنى لعدد النقاط لاستخدامها في كل قطاع.
إذا لم يكن الحد الأدنى لعدد النقاط المطلوبة متاحًا في أي قطاع معين ، فسيتم
تحديد أقرب نقطة متاحة خارج القطاع.
Minor
semiaxis
Size of the minor semiaxis of the search neighborhood.
Major
semiaxis
Size of the major semiaxis of the search neighborhood.
Angle
The angle of rotation of the neighborhood axis.
Shape type
(optional)
The geometry of the neighborhood.
· ONE_SECTOR — Single ellipse
· FOUR_SECTORS — Ellipse divided into four sectors
· FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45
degrees
· EIGHT_SECTORS — Ellipse divided into eight sectors
6.
Minor semiaxis نصف محورية طفيفة
Size of the minor
semiaxis of the search neighborhood.
حجم المحاور الصغرى لحي البحث.
7.
Major semiaxis الرئيسية شبه المحور
Size of the major
semiaxis of the search neighborhood.
حجم المحور شبه الرئيسي لحي البحث.
8.
Angle زاوية
The angle of rotation of
the neighborhood axis.
زاوية دوران محور الحي.
9.
Shape type (optional) نوع الشكل (اختياري)
The geometry of the
neighborhood.
·
ONE_SECTOR — Single ellipse
·
FOUR_SECTORS — Ellipse divided into four sectors
·
FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and
shifted 45 degrees
·
EIGHT_SECTORS — Ellipse divided into eight sectors Shape type (optional)
هندسة الحي.
• ONE_SECTOR - القطع الناقص الفردي
• FOUR_SECTORS - القطع الناقص مقسمة إلى أربعة قطاعات
• FOUR_SECTORS_SHIFTED - قطع ناقص مقسم إلى أربعة قطاعات ومزاح بمقدار 45 درجة
• EIGHT_SECTORS - قطع ناقص مقسمة إلى ثمانية قطاعات
Subset Features
أداة مجموعة بيانات فرعية
ArcMap ArcGIS
How to use Subset Features Tool in Arc Toolbox ArcMap ArcGIS??
كيفية استخدام أداة حساسية شبه مجهرية ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Subset
Features Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox
Subset Features
Divides the original
dataset into two parts: one part to be used to model the spatial structure and
produce a surface, the other to be used to compare and validate the output
surface.
يقسم مجموعة البيانات الأصلية إلى جزأين: جزء
يستخدم لنمذجة الهيكل المكاني وإنتاج سطح ، والآخر يستخدم لمقارنة سطح الإخراج
والتحقق من صحته.
1.
Input features أدخل المعالم
Points, lines, polygon
features, or table from which to create a subset.
النقاط أو الخطوط أو معالم المضلع أو الجدول الذي
يتم من خلاله إنشاء مجموعة فرعية.
Output
training feature class
The subset of training features to be created.
Output
test feature class (optional)
The subset of test features to be created.
Size of
training feature subset (optional)
The size of the output training feature class, entered either as a
percentage of the input features or as an absolute number of features.
Subset
size units (optional)
Type of subset size.
· PERCENTAGE_OF_INPUT— The percentage of the input features that will be in
the training dataset.
· ABSOLUTE_VALUE— The number of features that will be in the training
dataset.
2.
Output training feature class فئة
تدريب الإخراج
The subset of training
features to be created.
المجموعة الفرعية لميزات التدريب المراد إنشاؤها.
Output
test feature class (optional)
The subset of test features to be created.
Size of
training feature subset (optional)
The size of the output training feature class, entered either as a
percentage of the input features or as an absolute number of features.
Subset
size units (optional)
Type of subset size.
· PERCENTAGE_OF_INPUT— The percentage of the input features that will be in
the training dataset.
· ABSOLUTE_VALUE— The number of features that will be in the training
dataset.
3.
Output test feature class (optional) فئة ميزة اختبار الإخراج (اختياري)
The subset of test
features to be created.
المجموعة الفرعية لميزات الاختبار التي سيتم
إنشاؤها.
Size of
training feature subset (optional)
The size of the output training feature class, entered either as a
percentage of the input features or as an absolute number of features.
Subset
size units (optional)
Type of subset size.
· PERCENTAGE_OF_INPUT— The percentage of the input features that will be in
the training dataset.
· ABSOLUTE_VALUE— The number of features that will be in the training
dataset.
4.
Size of training feature subset (optional) حجم مجموعة ميزات التدريب الفرعية (اختياري)
The size of the output
training feature class, entered either as a percentage of the input features or
as an absolute number of features.
حجم فئة ميزة تدريب الإخراج ، يتم إدخالها إما
كنسبة مئوية من ميزات الإدخال أو كعدد مطلق من الميزات.
Subset size
units (optional)
Type of subset size.
· PERCENTAGE_OF_INPUT— The percentage of the input features that will be in
the training dataset.
· ABSOLUTE_VALUE— The number of features that will be in the training
dataset.
5.
Subset size units (optional) وحدات
حجم المجموعة الفرعية (اختياري)
Type of subset size.
·
PERCENTAGE_OF_INPUT— The percentage of the input features that
will be in the training dataset.
·
ABSOLUTE_VALUE— The number of features that will be in the
training dataset.
نوع حجم المجموعة الفرعية.
• PERCENTAGE_OF_INPUT - النسبة المئوية لميزات الإدخال التي ستكون في مجموعة بيانات
التدريب.
• ABSOLUTE_VALUE - عدد الميزات التي ستكون في مجموعة بيانات التدريب.
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