كل ما يخص نظم المعلومات الجغرافية (GIS) وأي شخص مهتم في مجال علم نظم المعلومات الجغرافية وخاصةً برامج ArcGIS يستفيد من هذا الموقع، هناك الكثير من البرنامج التي يتم شرح طريقة تنزيلها بالإضافة الى مقالات كثيرة في نظم المعلومات الجغرافية، تستطيع من خلالها التعلم وتبادل العلم والمعرفة في مجال هذا العلم ، يمكن لأي شخص متابعة هذا الموقع ومتابعة أي مقال جديد لحظة بلحظة، هناك دورات مجانية وبمستويات متعددة لتعلم على برامج ArcGIS وأي برامج تهتم في GIS.
Given incident points or
weighted features (points or polygons), creates a map of statistically
significant hot and cold spots using the Getis-Ord Gi* statistic. It evaluates
the characteristics of the input feature class to produce optimal results.
نظرًا لنقاط الحادث أو المعالم الموزونة (النقاط
أو المضلعات) ، يُنشئ خريطة النقاط الساخنة والباردة ذات الدلالة الإحصائية
باستخدام إحصائية Getis-Ord Gi *. يقوم بتقييم خصائص
فئة ميزة الإدخال للحصول على أفضل النتائج.
1.Input Features ادخل المعالم
The point or polygon
feature class for which hot spot analysis will be performed.
فئة معلم النقطة أو المضلع التي سيتم إجراء تحليل
النقاط الفعالة لها.
Output Features
The output feature class to receive the z-score, p-value, and Gi_Bin
results.
Analysis Field (optional)
The numeric field (number of incidents, crime rates, test scores, and so
on) to be evaluated.
Incident Data Aggregation Method
(optional)
The aggregation method to use to create weighted features for analysis
from incident point data.
·COUNT_INCIDENTS_WITHIN_FISHNET_POLYGONS—A fishnet polygon mesh will
overlay the incident point data and the number of incidents within each polygon
cell will be counted. If no bounding polygon is provided in the Bounding
Polygons Defining Where Incidents Are Possible parameter, only cells with at
least one incident will be used in the analysis; otherwise, all cells within
the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_HEXAGON_POLYGONS —A hexagon polygon mesh will
overlay the incident point data and the number of incidents within each polygon
cell will be counted. If no bounding polygon is provided in the Bounding
Polygons Defining Where Incidents Are Possible parameter, only cells with at
least one incident will be used in the analysis; otherwise, all cells within
the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_AGGREGATION_POLYGONS—You provide aggregation
polygons to overlay the incident point data in the Polygons For Aggregating
Incidents Into Counts parameter. The incidents within each polygon are counted.
·SNAP_NEARBY_INCIDENTS_TO_CREATE_WEIGHTED_POINTS—Nearby incidents will be
aggregated together to create a single weighted point. The weight for each
point is the number of aggregated incidents at that location.
Bounding Polygons Defining Where
Incidents Are Possible (optional)
A polygon feature class defining where the incident Input Features could
possibly occur.
Polygons For Aggregating Incidents
Into Counts (optional)
The polygons to use to aggregate the incident Input Features in order to
get an incident count for each polygon feature.
Density Surface (optional)
The Density Surface parameter is disabled; it remains as a tool parameter
only to support backwards compatibility. The Kernel Density tool can be used if
you would like a density surface visualization of your weighted points.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
2.Output Features المعالم المخرجة
The output feature class
to receive the z-score, p-value, and Gi_Bin results.
فئة معلم الإخراج لتلقي نتائج z-Score و p-value و Gi_Bin.
Analysis Field (optional)
The numeric field (number of incidents, crime rates, test scores, and so
on) to be evaluated.
Incident Data Aggregation Method
(optional)
The aggregation method to use to create weighted features for analysis
from incident point data.
·COUNT_INCIDENTS_WITHIN_FISHNET_POLYGONS—A fishnet polygon mesh will
overlay the incident point data and the number of incidents within each polygon
cell will be counted. If no bounding polygon is provided in the Bounding
Polygons Defining Where Incidents Are Possible parameter, only cells with at
least one incident will be used in the analysis; otherwise, all cells within
the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_HEXAGON_POLYGONS —A hexagon polygon mesh will
overlay the incident point data and the number of incidents within each polygon
cell will be counted. If no bounding polygon is provided in the Bounding
Polygons Defining Where Incidents Are Possible parameter, only cells with at
least one incident will be used in the analysis; otherwise, all cells within
the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_AGGREGATION_POLYGONS—You provide aggregation
polygons to overlay the incident point data in the Polygons For Aggregating
Incidents Into Counts parameter. The incidents within each polygon are counted.
·SNAP_NEARBY_INCIDENTS_TO_CREATE_WEIGHTED_POINTS—Nearby incidents will be
aggregated together to create a single weighted point. The weight for each
point is the number of aggregated incidents at that location.
Bounding Polygons Defining Where
Incidents Are Possible (optional)
A polygon feature class defining where the incident Input Features could
possibly occur.
Polygons For Aggregating Incidents
Into Counts (optional)
The polygons to use to aggregate the incident Input Features in order to
get an incident count for each polygon feature.
Density Surface (optional)
The Density Surface parameter is disabled; it remains as a tool parameter
only to support backwards compatibility. The Kernel Density tool can be used if
you would like a density surface visualization of your weighted points.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
3.Analysis Field (optional) حقل
التحليل (اختياري)
The numeric field
(number of incidents, crime rates, test scores, and so on) to be evaluated.
الحقل الرقمي (عدد الحوادث ، ومعدلات الجريمة ،
ودرجات الاختبار ، وما إلى ذلك) المراد تقييمه.
Incident Data Aggregation Method
(optional)
The aggregation method to use to create weighted features for analysis
from incident point data.
·COUNT_INCIDENTS_WITHIN_FISHNET_POLYGONS—A fishnet polygon mesh will
overlay the incident point data and the number of incidents within each polygon
cell will be counted. If no bounding polygon is provided in the Bounding
Polygons Defining Where Incidents Are Possible parameter, only cells with at
least one incident will be used in the analysis; otherwise, all cells within
the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_HEXAGON_POLYGONS —A hexagon polygon mesh will
overlay the incident point data and the number of incidents within each polygon
cell will be counted. If no bounding polygon is provided in the Bounding
Polygons Defining Where Incidents Are Possible parameter, only cells with at
least one incident will be used in the analysis; otherwise, all cells within
the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_AGGREGATION_POLYGONS—You provide aggregation
polygons to overlay the incident point data in the Polygons For Aggregating
Incidents Into Counts parameter. The incidents within each polygon are counted.
·SNAP_NEARBY_INCIDENTS_TO_CREATE_WEIGHTED_POINTS—Nearby incidents will be
aggregated together to create a single weighted point. The weight for each
point is the number of aggregated incidents at that location.
Bounding Polygons Defining Where
Incidents Are Possible (optional)
A polygon feature class defining where the incident Input Features could
possibly occur.
Polygons For Aggregating Incidents
Into Counts (optional)
The polygons to use to aggregate the incident Input Features in order to
get an incident count for each polygon feature.
Density Surface (optional)
The Density Surface parameter is disabled; it remains as a tool parameter
only to support backwards compatibility. The Kernel Density tool can be used if
you would like a density surface visualization of your weighted points.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
4.Incident Data Aggregation Method (optional) طريقة تجميع بيانات الحادث (اختياري)
The aggregation method
to use to create weighted features for analysis from incident point data.
·COUNT_INCIDENTS_WITHIN_FISHNET_POLYGONS—A fishnet polygon mesh
will overlay the incident point data and the number of incidents within each
polygon cell will be counted. If no bounding polygon is provided in the
Bounding Polygons Defining Where Incidents Are Possible parameter, only cells
with at least one incident will be used in the analysis; otherwise, all cells
within the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_HEXAGON_POLYGONS —A hexagon polygon mesh
will overlay the incident point data and the number of incidents within each
polygon cell will be counted. If no bounding polygon is provided in the
Bounding Polygons Defining Where Incidents Are Possible parameter, only cells
with at least one incident will be used in the analysis; otherwise, all cells
within the bounding polygons will be analyzed.
·COUNT_INCIDENTS_WITHIN_AGGREGATION_POLYGONS—You provide
aggregation polygons to overlay the incident point data in the Polygons For
Aggregating Incidents Into Counts parameter. The incidents within each polygon
are counted.
·SNAP_NEARBY_INCIDENTS_TO_CREATE_WEIGHTED_POINTS—Nearby incidents
will be aggregated together to create a single weighted point. The weight for
each point is the number of aggregated incidents at that location.
طريقة التجميع المراد استخدامها لإنشاء ميزات
مرجحة للتحليل من بيانات نقطة الحادث.
• COUNT_INCIDENTS_WITHIN_FISHNET_POLYGONS - ستتراكب شبكة مضلع
شبكة صيد السمك على بيانات نقطة الحادث وسيتم حساب عدد الحوادث داخل كل خلية مضلع.
إذا لم يتم توفير مضلع محيط في معلمة تحديد مكان وقوع الحوادث ، فسيتم استخدام
الخلايا التي بها حادثة واحدة على الأقل في التحليل ؛ خلاف ذلك ، سيتم تحليل جميع
الخلايا داخل المضلعات المحيطة.
• COUNT_INCIDENTS_WITHIN_HEXAGON_POLYGONS - ستتراكب شبكة مضلعة
سداسية على بيانات نقطة الحادث وسيتم حساب عدد الحوادث داخل كل خلية مضلع. إذا لم
يتم توفير مضلع محيط في معلمة تحديد مكان وقوع الحوادث ، فسيتم استخدام الخلايا
التي بها حادثة واحدة على الأقل في التحليل ؛ خلاف ذلك ، سيتم تحليل جميع الخلايا
داخل المضلعات المحيطة.
• COUNT_INCIDENTS_WITHIN_AGGREGATION_POLYGONS - أنت توفر مضلعات تجميع
لتراكب بيانات نقطة الحادث في معلمة Polygons For Aggregating Inco Counts. يتم حساب الحوادث داخل كل مضلع.
• SNAP_NEARBY_INCIDENTS_TO_CREATE_WEIGHTED_POINTS - سيتم تجميع الأحداث
القريبة معًا لإنشاء نقطة مرجحة واحدة. وزن كل نقطة هو عدد الحوادث المجمعة في ذلك
الموقع.
Bounding Polygons Defining Where
Incidents Are Possible (optional)
A polygon feature class defining where the incident Input Features could
possibly occur.
Polygons For Aggregating Incidents
Into Counts (optional)
The polygons to use to aggregate the incident Input Features in order to
get an incident count for each polygon feature.
Density Surface (optional)
The Density Surface parameter is disabled; it remains as a tool parameter
only to support backwards compatibility. The Kernel Density tool can be used if
you would like a density surface visualization of your weighted points.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
5.Bounding Polygons Defining Where Incidents Are Possible
(optional) المضلعات المحيطة التي تحدد مكان وقوع
الحوادث (اختياري)
A polygon feature class
defining where the incident Input Features could possibly occur.
فئة معلم مضلع تحدد مكان حدوث ميزات إدخال الحادث.
Polygons For Aggregating Incidents
Into Counts (optional)
The polygons to use to aggregate the incident Input Features in order to
get an incident count for each polygon feature.
Density Surface (optional)
The Density Surface parameter is disabled; it remains as a tool parameter
only to support backwards compatibility. The Kernel Density tool can be used if
you would like a density surface visualization of your weighted points.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
6.Polygons For Aggregating Incidents Into Counts (optional) المضلعات لتجميع الحوادث في أعداد (اختياري)
The polygons to use to
aggregate the incident Input Features in order to get an incident count for
each polygon feature.
المضلعات التي سيتم استخدامها لتجميع ميزات إدخال
الحادث من أجل الحصول على عدد الحوادث لكل معلم مضلع.
Density Surface (optional)
The Density Surface parameter is disabled; it remains as a tool parameter
only to support backwards compatibility. The Kernel Density tool can be used if
you would like a density surface visualization of your weighted points.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
7.Density Surface (optional) كثافة
السطح (اختياري)
The Density Surface
parameter is disabled; it remains as a tool parameter only to support backwards
compatibility. The Kernel Density tool can be used if you would like a density
surface visualization of your weighted points.
تم تعطيل معلمة كثافة السطح ؛ يبقى كمعامل أداة
فقط لدعم التوافق مع الإصدارات السابقة. يمكن استخدام أداة Kernel Density إذا كنت ترغب في تصور كثافة السطح لنقاطك الموزونة.
Cell Size (optional)
The size of the grid cells used to aggregate the Input Features. When
aggregating into a hexagon grid, this distance is used as the height to
construct the hexagon polygons.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
8.Cell Size (optional) حجم الخلية
(اختياري)
The size of the grid
cells used to aggregate the Input Features. When aggregating into a hexagon
grid, this distance is used as the height to construct the hexagon polygons.
حجم خلايا الشبكة المستخدمة لتجميع ميزات الإدخال.
عند التجميع في شبكة سداسية ، يتم استخدام هذه المسافة كارتفاع لبناء المضلعات
السداسية.
Distance Band (optional)
The spatial extent of the analysis neighborhood. This value determines
which features are analyzed together in order to assess local clustering.
This tool only supports kilometers, meters, miles and feet.
9.Distance Band (optional) نطاق
المسافة (اختياري)
The spatial extent of
the analysis neighborhood. This value determines which features are analyzed
together in order to assess local clustering.
This tool only supports
kilometers, meters, miles and feet.
المدى المكاني لحي التحليل. تحدد هذه القيمة
الميزات التي يتم تحليلها معًا لتقييم المجموعات المحلية.
Specifies whether statistical significance will be assessed with or
without FDR correction.
·Checked—Statistical significance will be based on the False Discovery Rate
correction.
·Unchecked—Statistical significance will be based on the p-value and
z-score fields. This is the default.
Weights Matrix File (optional)
The path to a file containing weights that define spatial, and potentially
temporal, relationships among features.
Specifies whether statistical significance will be assessed with or
without FDR correction.
·Checked—Statistical significance will be based on the False Discovery Rate
correction.
·Unchecked—Statistical significance will be based on the p-value and
z-score fields. This is the default.
Distance Band or Threshold
Distance (optional)
Specifies a cutoff distance for Inverse Distance and Fixed Distance
options. Features outside the specified cutoff for a target feature are ignored
in analyses for that feature. However, for Zone of Indifference, the influence
of features outside the given distance is reduced with distance, while those
inside the distance threshold are equally considered. The distance value
entered should match that of the output coordinate system.
For the inverse distance conceptualizations of spatial relationships, a
value of 0 indicates that no threshold distance is applied; when this parameter
is left blank, a default threshold value is computed and applied. This default
value is the Euclidean distance that ensures every feature has at least one
neighbor.
This parameter has no effect when polygon contiguity
(CONTIGUITY_EDGES_ONLY or CONTIGUITY_EDGES_CORNERS) or
GET_SPATIAL_WEIGHTS_FROM_FILE spatial conceptualizations are selected.
Self Potential Field (optional)
The field representing self potential: the distance or weight between a
feature and itself.
Weights Matrix File (optional)
The path to a file containing weights that define spatial, and potentially
temporal, relationships among features.
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