3D Analyst - Cut and Fill
•
2 likes•3,193 views
This document outlines the steps taken to determine material loss in the Grasberg area of Papua caused by private company exploration using a 3D analysis technique called cut and fill. The analysis involved generating elevation data points from SRTM data, converting the points to a vector file, creating a TIN surface, and executing a cut and fill between two TINs to calculate the volume of material loss in cubic meters.
Report
Share
Report
Share
![Data sources ,[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
3D Analyst - Watershed, Padang
The document discusses using ArcGIS spatial analyst tools to delineate watersheds in the Padang area of Indonesia. It involves creating a digital elevation model (DEM) from SRTM elevation data, then using hydrological modeling tools like Fill, Flow Direction, Flow Accumulation, and Watershed to generate vector layers representing streams, channels, and watershed boundaries. The final watershed delineation is viewed in 2D in ArcMap and 3D in ArcScene and Cosmo Player to understand the hydrological modeling process and watersheds in the Padang area.
3D Analyst Watershed Lombok
This document discusses using ArcView 3.3 to determine watersheds on Lombok Island, Indonesia. It describes Lombok's varied topography, especially in northern high mountain and valley areas. The document outlines steps to create a digital elevation model from SRTM data, calculate flow direction and accumulation, identify streams, label stream links, and determine watershed boundaries. It also mentions viewing the results in 3D using the 3Dscene extension.
3D Watershed Celebes
This document outlines the steps to derive watersheds in Central Celebes, Indonesia from SRTM data using 3D modeling software and ArcGIS tools:
1) Load and preprocess SRTM data to create a DEM raster, including cropping, filling blanks, converting projections, and saving as a GeoTIFF.
2) Perform terrain analysis in ArcGIS to calculate flow direction, flow accumulation, stream definition, stream segmentation, and catchment grid delineation using the ArcHydro tools.
3) View the resulting watersheds and hydrological networks in 3D in ArcScene by setting the appropriate layer properties and vertical exaggeration.
3D Analyst - Watershed Lorelindu
This document summarizes steps taken to create a geographic information system (GIS) model of watershed areas in Lore Lindu National Park, Indonesia. The steps included: (1) creating a digital elevation model from satellite data, (2) removing errors, (3) generating flow direction and accumulation maps, (4) mapping stream channels based on areas with over 500 cells of accumulated flow, (5) generating stream links, (6) delineating watersheds, (7) visualizing the 3D model, and (8) comparing generated streams to topography.
3D Analyst - Watershed and Stream Network
A watershed is defined as the area of land that drains to a particular point along a stream. The boundary of a watershed is defined by the highest elevations surrounding the stream, and a drop of water falling outside this boundary will drain to another watershed. This document outlines steps to automatically delineate watershed areas and stream networks in ArcGIS using tools like flow direction, flow accumulation, and watershed. The process involves converting DEM data to raster format, removing sinks, and generating channels, stream links, and watersheds based on flow patterns and accumulation thresholds.
3D Analyst - Watershed from SRTM
This document describes the 7 main steps to create a watershed from SRTM DEM data using ArcGIS software: 1) Create a DEM from SRTM data and reproject it; 2) Remove sinks in the DEM; 3) Generate a flow direction raster; 4) Generate a flow accumulation raster; 5) Generate a stream channel raster; 6) Generate stream links; and 7) Generate the watershed polygons. Each step involves using different ArcGIS hydrology tools on the output of the previous step to delineate watershed boundaries.
3D Analyst - Watershed, Lombok
This document outlines the 7 main steps to delineate a watershed area in Lombok, Indonesia: 1) Create a digital elevation model from SRTM data, 2) Remove errors from the DEM, 3) Generate flow direction, 4) Generate flow accumulation, 5) Generate stream channels, 6) Generate stream links, 7) Generate the watershed area. ArcGIS and ArcScene software are used to complete the delineation and visualize the 3D watershed area.
3D Analyst - Watershed, Tomohon
The document summarizes a project to delineate a watershed area and identify streams in the Tomohon Agripolitan area of Indonesia using 3D modeling software. Key steps included creating a digital elevation model from SRTM data, removing errors from the DEM using ArcGIS tools, generating flow direction and accumulation rasters, identifying stream channels, assigning stream segments unique IDs, and using the results to generate the watershed boundary. 3D views of the area were also created in Global Mapper and ArcScene with overlays of rivers and roads.
Recommended
3D Analyst - Watershed, Padang
The document discusses using ArcGIS spatial analyst tools to delineate watersheds in the Padang area of Indonesia. It involves creating a digital elevation model (DEM) from SRTM elevation data, then using hydrological modeling tools like Fill, Flow Direction, Flow Accumulation, and Watershed to generate vector layers representing streams, channels, and watershed boundaries. The final watershed delineation is viewed in 2D in ArcMap and 3D in ArcScene and Cosmo Player to understand the hydrological modeling process and watersheds in the Padang area.
3D Analyst Watershed Lombok
This document discusses using ArcView 3.3 to determine watersheds on Lombok Island, Indonesia. It describes Lombok's varied topography, especially in northern high mountain and valley areas. The document outlines steps to create a digital elevation model from SRTM data, calculate flow direction and accumulation, identify streams, label stream links, and determine watershed boundaries. It also mentions viewing the results in 3D using the 3Dscene extension.
3D Watershed Celebes
This document outlines the steps to derive watersheds in Central Celebes, Indonesia from SRTM data using 3D modeling software and ArcGIS tools:
1) Load and preprocess SRTM data to create a DEM raster, including cropping, filling blanks, converting projections, and saving as a GeoTIFF.
2) Perform terrain analysis in ArcGIS to calculate flow direction, flow accumulation, stream definition, stream segmentation, and catchment grid delineation using the ArcHydro tools.
3) View the resulting watersheds and hydrological networks in 3D in ArcScene by setting the appropriate layer properties and vertical exaggeration.
3D Analyst - Watershed Lorelindu
This document summarizes steps taken to create a geographic information system (GIS) model of watershed areas in Lore Lindu National Park, Indonesia. The steps included: (1) creating a digital elevation model from satellite data, (2) removing errors, (3) generating flow direction and accumulation maps, (4) mapping stream channels based on areas with over 500 cells of accumulated flow, (5) generating stream links, (6) delineating watersheds, (7) visualizing the 3D model, and (8) comparing generated streams to topography.
3D Analyst - Watershed and Stream Network
A watershed is defined as the area of land that drains to a particular point along a stream. The boundary of a watershed is defined by the highest elevations surrounding the stream, and a drop of water falling outside this boundary will drain to another watershed. This document outlines steps to automatically delineate watershed areas and stream networks in ArcGIS using tools like flow direction, flow accumulation, and watershed. The process involves converting DEM data to raster format, removing sinks, and generating channels, stream links, and watersheds based on flow patterns and accumulation thresholds.
3D Analyst - Watershed from SRTM
This document describes the 7 main steps to create a watershed from SRTM DEM data using ArcGIS software: 1) Create a DEM from SRTM data and reproject it; 2) Remove sinks in the DEM; 3) Generate a flow direction raster; 4) Generate a flow accumulation raster; 5) Generate a stream channel raster; 6) Generate stream links; and 7) Generate the watershed polygons. Each step involves using different ArcGIS hydrology tools on the output of the previous step to delineate watershed boundaries.
3D Analyst - Watershed, Lombok
This document outlines the 7 main steps to delineate a watershed area in Lombok, Indonesia: 1) Create a digital elevation model from SRTM data, 2) Remove errors from the DEM, 3) Generate flow direction, 4) Generate flow accumulation, 5) Generate stream channels, 6) Generate stream links, 7) Generate the watershed area. ArcGIS and ArcScene software are used to complete the delineation and visualize the 3D watershed area.
3D Analyst - Watershed, Tomohon
The document summarizes a project to delineate a watershed area and identify streams in the Tomohon Agripolitan area of Indonesia using 3D modeling software. Key steps included creating a digital elevation model from SRTM data, removing errors from the DEM using ArcGIS tools, generating flow direction and accumulation rasters, identifying stream channels, assigning stream segments unique IDs, and using the results to generate the watershed boundary. 3D views of the area were also created in Global Mapper and ArcScene with overlays of rivers and roads.
3D Analyst - Lake, Jatiluhur
This document summarizes finding the volume of water in Jatiluhur Reservoir using 3D Analyst in ArcGIS. It details importing elevation data, creating an area of interest, cropping the data to the reservoir boundaries, and using 3D Analyst tools to calculate volume statistics. The volume of water held below the reservoir surface was computed to understand how much water it is holding.
3D Analyst - Watershed
Delineate a Watershed Area and Find the Streams of the Rivers Using Spatial and 3D Analyst
by Candra Dewi
Watershed Delineation in ArcGIS
For a new better version of this tutorial see my Google Slides with embedded videos.
https://docs.google.com/presentation/d/1MftEOT3uvYpCVwUaLMhsesm5Que-Kr7GQRV4pKZ2SNQ/edit?usp=sharing
This is a 2019 tutorial on how to do watershed delineation using ArcMap 10. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.
Watershed Delineation Using ArcMap
For a new better version of this tutorial see my Google Slides with embedded videos.
https://docs.google.com/presentation/d/1MftEOT3uvYpCVwUaLMhsesm5Que-Kr7GQRV4pKZ2SNQ/edit?usp=sharing
This is a 2016 tutorial on how to do watershed delineation using ArcMap 10. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.
1 catchment delineation.ppt
1) The document outlines the steps to delineate a catchment area using software like Global Mapper and WMS. It begins with preparing DEM and satellite imagery data and getting GPS coordinates for an outlet point.
2) The initial catchment area is delineated in WMS and streams are verified. The catchment area is then visualized. Relevant data like drainage networks are downloaded and imported.
3) Flow direction and accumulation is calculated using TOPAZ tools in Global Mapper. Contour lines and other data are displayed to finalize the delineated catchment area containing the outlet point.
3D Analyst - Lake Lorelindu by GRASS
This document describes using the open source GIS software GRASS to calculate the volume of Lore Lindu Lake in Central Sulawesi, Indonesia. It details the steps taken, which include importing polygon and depth point data, creating a bathymetry map using inverse distance weighted interpolation, generating contour and slope maps, viewing the results in 3D, and calculating the lake volume as 143449194.374 cubic meters using the r.volume command. The document concludes that GRASS provides an accessible and flexible way to perform this hydrological analysis and 3D volume calculation.
Ahmad Mauliddin Vol Of Water In Bili Bili
The document describes using ArcGIS 3D Analyst to calculate the volume of water in Bili-Bili Reservoir in South Sulawesi Province, Indonesia. 3D Analyst allows users to visualize spatial data in three dimensions, determine heights anywhere on a surface, calculate volumetric differences between two surfaces, and work with 3D vector features. The analysis will use a topographic map and shapefile of the Bili-Bili Reservoir boundaries to find the volume of water.
Determining the k in k-means with MapReduce
This document describes a MapReduce algorithm for determining the optimal k value in k-means clustering. It presents the G-means algorithm, which uses recursive k-means clustering and normality testing to split clusters until all points are normally distributed around cluster centers. The document outlines challenges in implementing G-means in MapReduce, and describes solutions to reduce I/O, jobs, maximize parallelism and limit memory usage. It compares the proposed MapReduce G-means approach to existing multi-k-means methods, finding it has better quality and comparable speed on synthetic datasets.
How Rough Is Your Runway?
Using Trimble TX9 terrestrial laser scanner my surveying team scanned an active runway in Western Australia to a tolerance spec of 3mm. The teams were working a live site providing aircraft right of way meant the teams had to setup and takedown scanner and targets to yield to any aircraft movements around the site and airspace. Surveyors took a ground based approach over drone UAS to maintain tighter vertical control than can be achieved using drone capture. We were tasked with looking for deviations, rutting and areas to derive Pavement Condition Index (PCI) criteria for their asset.
Once the data was captured surveying teams utilized TopoDot to assemble the raw scans into a consolidated model. They then attempted to use the pavement roughness algorithms in the software against the close to 3.4b points of classified data but had to split the datasets into halves and quads in order for the processing runs to complete. The Bentley product has an inbuilt “Road condition tool” which reports on pavement roughness characteristics but has preset expected pavement widths, roads not runway widths, set in the software. We explained to our surveyors that the algorithms might run faster in another product. It allowed us to explore FME as a point cloud processing workflow using feature tables functionality to quickly generate the statistics required for reporting deliverables using the entire dataset in one process.
LIDAR-derived DTM for archaeology and landscape history research some recent ...
This document discusses using QGIS and GRASS software to analyze LIDAR data and digital terrain models (DTMs) for archaeology and landscape history research. It provides examples of merging DTM tiles, applying color styles, using GRASS tools like r.slope.aspect to exaggerate surface differentials and reveal archaeological features, and overlaying processed DTMs with historical maps. GDAL and Python scripts are also used to further process the DTM data.
Murphy presentation
This document summarizes a presentation on assessing the accuracy of LiDAR data using ArcGIS 10.1. The goals were to determine if ArcGIS could accurately assess LiDAR data by comparing it to check points based on 8 statistics. It discusses the history of LiDAR, how it is handled in ArcGIS, and compares LAS datasets to terrain datasets. The code structure calculates residuals and statistics to output accuracy measurements to assess if the data meets ASPRS and USGS guidelines. In conclusion, ArcGIS can visually inspect LiDAR but other software is needed for full analysis capabilities.
Steps for Principal Component Analysis (pca) using ERDAS software
Principal component analysis is a technique that uses orthogonal transformation to convert correlated variables into a set of uncorrelated variables called principal components. The document provides steps to perform principal component analysis in ERDAS, including opening an input file, specifying the number of desired components and output file, and viewing the output layers. The first few layers highlight different features like urban areas, water regions, and vegetation.
Point Clouds: What's New
This document discusses new formats and transformers for point cloud data, including the CARIS Spatial Archive format and Mojang Minecraft format. It introduces the PointCloudSorter, PointCloudMerger, and PointCloudStatisticsCalculator transformers for sorting, merging, and calculating statistics on point clouds. An example workspace is described that demonstrates using point clouds for classification, biomass calculation, and feature extraction, with the ability to output rasters and vectors. The PointCloudStatisticsCalculator is demonstrated on a Port Coquitlam building example.
Exploring Raster with FME
This document discusses using FME for working with raster data. It provides an overview of raster types and formats supported by FME, as well as common raster workflows and transformations. These include format conversion, loading/extracting to databases, processing via resampling or cell operations, enriching GIS data by converting between raster and vector, 3D workflows like draping, and consuming/publishing raster to the web. The document demonstrates several raster workflows in FME including generating reports from LAS point clouds, writing raster images to Excel, creating KML for tracking storm paths over time, and modeling flood inundation from DEM and river vector data.
poster-hadoop-MiroslavMihaylov
This document discusses processing time series data with Hadoop. It describes analyzing high density, large volume time series data from a single source using sliding windows and calculations like mean, variance, and fast Fourier transforms at different timescales. A Hadoop MapReduce job is used where mappers run filters on individual windows and output the window midpoint and calculated values. Further development includes additional signal processing filters, interfacing with a database, and handling multiple correlated data sets.
MapMap-Reduce recipes in with c#
This document provides an overview of MapReduce, describing it as a framework for processing large datasets in parallel across multiple systems. It outlines that MapReduce involves two key functions: the map function which extracts and transforms data, and the reduce function which combines output from the map to form final results. Examples are given of how MapReduce can be used for problems like word counting by mapping words to counts, shuffling by key, and reducing to obtain final counts. Code examples and a live demonstration model are proposed to further illustrate how MapReduce works.
How to Get the Most Out of LiDAR Data
Maximize the possibilities of your LiDAR data with FME. Through demos, you’ll learn how to extract the full value of point clouds by quickly processing and combining them with other data sources. We’ll also show you real-world examples using LiDAR for 3D city modelling & viewshed analysis, with specific takeaways that can be applied to your own data. Plus, find out how to integrate command-line programs like LAStools into your FME workflow.
Scaling in R
Scaling transforms datasets to a common scale, usually to compare datasets with different scoring mechanisms. It allows measurement of relative effects across scales. The scale() function scales and centers data by dividing column values by the standard deviation and subtracting from the column mean. Recent updates to the forecast package allow using ggplot for plotting time series forecasts, with the autoplot() function creating ggplot graphics from time series objects.
Processing Rasters from Satellites, Drones, & More
This document discusses how rasters from satellites, drones, and other sources can be processed and analyzed using FME. It provides examples of bringing raster data into workflows from various sources like Landsat 8, Sentinel 2, and Planet. It also discusses how FME can be used to automate raster processing, mosaicking, styling, combining, and outputting tiles. Examples are given for creating up-to-date hybrid basemaps and monitoring and analyzing wildfire changes daily. Additional examples discuss building georeferenced satellite videos and using FME for natural hazard workflows like flood risk assessment and search and rescue with UAVs. Automation and accessing data are emphasized as important for meeting challenges of natural disaster response.
Optimization of graph storage using GoFFish
GoFFish is a scalable software framework for storing large graphs and executing graph analytics across a computing cluster. It consists of GoFS for distributed graph storage and partitioning and Gopher for programming abstractions. The researchers implemented two storage formats in GoFFish - temporal and subgraph binning - and evaluated them on a road network graph using vertex count and connected components algorithms. They found the temporal format performed better for vertex count while subgraph binning was better for connected components.
Building land for sale
This document contains information about a construction company including the materials they work with such as aggregates and brick work. It also lists the company name as Qualitastrading, their location in Newcastle upon Tyne, and their contact details including email and website.
Stairs
The document discusses different types of staircases and important considerations for staircase design and construction. It covers the evolution of staircases and why they are needed, as well as principles for planning and designing stairs, including width, pitch, handrails, and recommended tread and rise proportions. The document also examines different stair materials, lighting requirements, and styles of stairs including modern, classic, curved, and traditional designs.
More Related Content
What's hot
3D Analyst - Lake, Jatiluhur
This document summarizes finding the volume of water in Jatiluhur Reservoir using 3D Analyst in ArcGIS. It details importing elevation data, creating an area of interest, cropping the data to the reservoir boundaries, and using 3D Analyst tools to calculate volume statistics. The volume of water held below the reservoir surface was computed to understand how much water it is holding.
3D Analyst - Watershed
Delineate a Watershed Area and Find the Streams of the Rivers Using Spatial and 3D Analyst
by Candra Dewi
Watershed Delineation in ArcGIS
For a new better version of this tutorial see my Google Slides with embedded videos.
https://docs.google.com/presentation/d/1MftEOT3uvYpCVwUaLMhsesm5Que-Kr7GQRV4pKZ2SNQ/edit?usp=sharing
This is a 2019 tutorial on how to do watershed delineation using ArcMap 10. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.
Watershed Delineation Using ArcMap
For a new better version of this tutorial see my Google Slides with embedded videos.
https://docs.google.com/presentation/d/1MftEOT3uvYpCVwUaLMhsesm5Que-Kr7GQRV4pKZ2SNQ/edit?usp=sharing
This is a 2016 tutorial on how to do watershed delineation using ArcMap 10. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.
1 catchment delineation.ppt
1) The document outlines the steps to delineate a catchment area using software like Global Mapper and WMS. It begins with preparing DEM and satellite imagery data and getting GPS coordinates for an outlet point.
2) The initial catchment area is delineated in WMS and streams are verified. The catchment area is then visualized. Relevant data like drainage networks are downloaded and imported.
3) Flow direction and accumulation is calculated using TOPAZ tools in Global Mapper. Contour lines and other data are displayed to finalize the delineated catchment area containing the outlet point.
3D Analyst - Lake Lorelindu by GRASS
This document describes using the open source GIS software GRASS to calculate the volume of Lore Lindu Lake in Central Sulawesi, Indonesia. It details the steps taken, which include importing polygon and depth point data, creating a bathymetry map using inverse distance weighted interpolation, generating contour and slope maps, viewing the results in 3D, and calculating the lake volume as 143449194.374 cubic meters using the r.volume command. The document concludes that GRASS provides an accessible and flexible way to perform this hydrological analysis and 3D volume calculation.
Ahmad Mauliddin Vol Of Water In Bili Bili
The document describes using ArcGIS 3D Analyst to calculate the volume of water in Bili-Bili Reservoir in South Sulawesi Province, Indonesia. 3D Analyst allows users to visualize spatial data in three dimensions, determine heights anywhere on a surface, calculate volumetric differences between two surfaces, and work with 3D vector features. The analysis will use a topographic map and shapefile of the Bili-Bili Reservoir boundaries to find the volume of water.
Determining the k in k-means with MapReduce
This document describes a MapReduce algorithm for determining the optimal k value in k-means clustering. It presents the G-means algorithm, which uses recursive k-means clustering and normality testing to split clusters until all points are normally distributed around cluster centers. The document outlines challenges in implementing G-means in MapReduce, and describes solutions to reduce I/O, jobs, maximize parallelism and limit memory usage. It compares the proposed MapReduce G-means approach to existing multi-k-means methods, finding it has better quality and comparable speed on synthetic datasets.
How Rough Is Your Runway?
Using Trimble TX9 terrestrial laser scanner my surveying team scanned an active runway in Western Australia to a tolerance spec of 3mm. The teams were working a live site providing aircraft right of way meant the teams had to setup and takedown scanner and targets to yield to any aircraft movements around the site and airspace. Surveyors took a ground based approach over drone UAS to maintain tighter vertical control than can be achieved using drone capture. We were tasked with looking for deviations, rutting and areas to derive Pavement Condition Index (PCI) criteria for their asset.
Once the data was captured surveying teams utilized TopoDot to assemble the raw scans into a consolidated model. They then attempted to use the pavement roughness algorithms in the software against the close to 3.4b points of classified data but had to split the datasets into halves and quads in order for the processing runs to complete. The Bentley product has an inbuilt “Road condition tool” which reports on pavement roughness characteristics but has preset expected pavement widths, roads not runway widths, set in the software. We explained to our surveyors that the algorithms might run faster in another product. It allowed us to explore FME as a point cloud processing workflow using feature tables functionality to quickly generate the statistics required for reporting deliverables using the entire dataset in one process.
LIDAR-derived DTM for archaeology and landscape history research some recent ...
This document discusses using QGIS and GRASS software to analyze LIDAR data and digital terrain models (DTMs) for archaeology and landscape history research. It provides examples of merging DTM tiles, applying color styles, using GRASS tools like r.slope.aspect to exaggerate surface differentials and reveal archaeological features, and overlaying processed DTMs with historical maps. GDAL and Python scripts are also used to further process the DTM data.
Murphy presentation
This document summarizes a presentation on assessing the accuracy of LiDAR data using ArcGIS 10.1. The goals were to determine if ArcGIS could accurately assess LiDAR data by comparing it to check points based on 8 statistics. It discusses the history of LiDAR, how it is handled in ArcGIS, and compares LAS datasets to terrain datasets. The code structure calculates residuals and statistics to output accuracy measurements to assess if the data meets ASPRS and USGS guidelines. In conclusion, ArcGIS can visually inspect LiDAR but other software is needed for full analysis capabilities.
Steps for Principal Component Analysis (pca) using ERDAS software
Principal component analysis is a technique that uses orthogonal transformation to convert correlated variables into a set of uncorrelated variables called principal components. The document provides steps to perform principal component analysis in ERDAS, including opening an input file, specifying the number of desired components and output file, and viewing the output layers. The first few layers highlight different features like urban areas, water regions, and vegetation.
Point Clouds: What's New
This document discusses new formats and transformers for point cloud data, including the CARIS Spatial Archive format and Mojang Minecraft format. It introduces the PointCloudSorter, PointCloudMerger, and PointCloudStatisticsCalculator transformers for sorting, merging, and calculating statistics on point clouds. An example workspace is described that demonstrates using point clouds for classification, biomass calculation, and feature extraction, with the ability to output rasters and vectors. The PointCloudStatisticsCalculator is demonstrated on a Port Coquitlam building example.
Exploring Raster with FME
This document discusses using FME for working with raster data. It provides an overview of raster types and formats supported by FME, as well as common raster workflows and transformations. These include format conversion, loading/extracting to databases, processing via resampling or cell operations, enriching GIS data by converting between raster and vector, 3D workflows like draping, and consuming/publishing raster to the web. The document demonstrates several raster workflows in FME including generating reports from LAS point clouds, writing raster images to Excel, creating KML for tracking storm paths over time, and modeling flood inundation from DEM and river vector data.
poster-hadoop-MiroslavMihaylov
This document discusses processing time series data with Hadoop. It describes analyzing high density, large volume time series data from a single source using sliding windows and calculations like mean, variance, and fast Fourier transforms at different timescales. A Hadoop MapReduce job is used where mappers run filters on individual windows and output the window midpoint and calculated values. Further development includes additional signal processing filters, interfacing with a database, and handling multiple correlated data sets.
MapMap-Reduce recipes in with c#
This document provides an overview of MapReduce, describing it as a framework for processing large datasets in parallel across multiple systems. It outlines that MapReduce involves two key functions: the map function which extracts and transforms data, and the reduce function which combines output from the map to form final results. Examples are given of how MapReduce can be used for problems like word counting by mapping words to counts, shuffling by key, and reducing to obtain final counts. Code examples and a live demonstration model are proposed to further illustrate how MapReduce works.
How to Get the Most Out of LiDAR Data
Maximize the possibilities of your LiDAR data with FME. Through demos, you’ll learn how to extract the full value of point clouds by quickly processing and combining them with other data sources. We’ll also show you real-world examples using LiDAR for 3D city modelling & viewshed analysis, with specific takeaways that can be applied to your own data. Plus, find out how to integrate command-line programs like LAStools into your FME workflow.
Scaling in R
Scaling transforms datasets to a common scale, usually to compare datasets with different scoring mechanisms. It allows measurement of relative effects across scales. The scale() function scales and centers data by dividing column values by the standard deviation and subtracting from the column mean. Recent updates to the forecast package allow using ggplot for plotting time series forecasts, with the autoplot() function creating ggplot graphics from time series objects.
Processing Rasters from Satellites, Drones, & More
This document discusses how rasters from satellites, drones, and other sources can be processed and analyzed using FME. It provides examples of bringing raster data into workflows from various sources like Landsat 8, Sentinel 2, and Planet. It also discusses how FME can be used to automate raster processing, mosaicking, styling, combining, and outputting tiles. Examples are given for creating up-to-date hybrid basemaps and monitoring and analyzing wildfire changes daily. Additional examples discuss building georeferenced satellite videos and using FME for natural hazard workflows like flood risk assessment and search and rescue with UAVs. Automation and accessing data are emphasized as important for meeting challenges of natural disaster response.
Optimization of graph storage using GoFFish
GoFFish is a scalable software framework for storing large graphs and executing graph analytics across a computing cluster. It consists of GoFS for distributed graph storage and partitioning and Gopher for programming abstractions. The researchers implemented two storage formats in GoFFish - temporal and subgraph binning - and evaluated them on a road network graph using vertex count and connected components algorithms. They found the temporal format performed better for vertex count while subgraph binning was better for connected components.
What's hot (20)
LIDAR-derived DTM for archaeology and landscape history research some recent ...
LIDAR-derived DTM for archaeology and landscape history research some recent ...
Steps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS software
Processing Rasters from Satellites, Drones, & More
Processing Rasters from Satellites, Drones, & More
Viewers also liked
Building land for sale
This document contains information about a construction company including the materials they work with such as aggregates and brick work. It also lists the company name as Qualitastrading, their location in Newcastle upon Tyne, and their contact details including email and website.
Stairs
The document discusses different types of staircases and important considerations for staircase design and construction. It covers the evolution of staircases and why they are needed, as well as principles for planning and designing stairs, including width, pitch, handrails, and recommended tread and rise proportions. The document also examines different stair materials, lighting requirements, and styles of stairs including modern, classic, curved, and traditional designs.
Elements of landscape
The document discusses various elements of landscape design including lighting techniques, paving materials, fencing options, and uses of stone and wood. It provides details on outdoor lighting fixtures and how they are used to illuminate paths, architectural features, steps, and trees. It also discusses paving materials like stone, brick, concrete, and asphalt and how they are used for pathways. Different fencing styles including wrought iron, vinyl, stacked stone, and picket fencing are outlined. Common uses of stone and wood in landscaping like retaining walls, flagstone, boulders, and mulch are also summarized.
The ROI of Trust in Social Selling
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
Be a Digital Trailblazer When Building Your Brand
The document discusses the importance of personal branding, especially online, and becoming a "digital trailblazer." It provides 5 reasons for developing a strong personal brand, including that jobs may not be permanent and others are searching for you online. It encourages the reader to think about what makes them unique and compelling and how to tell their story succinctly across social media platforms. Examples are given of digital trailblazers leveraging different networks and some resources are listed to help readers craft their personal brand online.
Pillar design in coal mines
pillar design in coal mines, different pillar design approaches, salmon versus sheorey formulae, panel stability, diffrent approaches, local mine stiffness
How to Create the Perfect Social-Media Post
These are the slides that Guy Kawasaki and Peg Fitzpatrick used for a webinar hosted by Mari Smith. The purpose of the webinar was to help people create "the perfect posts" for social media. The presentation uses a classic top-ten format.
50 Expert Tips for Getting Started on Social Media
“If you were to give a one-sentence tip to a small business owner just started out with social media, what would you say?”
That’s the question we’ve been asking a lot over the last few weeks.
We’ve asked: business owners, marketers, social media experts, bloggers, entrepreneurs, best-selling authors, and a ton of other people who have achieved success on social media.
Most stuck to one sentence. Some cheated a little.
But all provided helpful tips that any business can use when getting started.
Now, it’s your turn! “If you were to give a one-sentence tip to a small business owner just started out with social media, what would you say?” Let us know on our blog: http://ow.ly/A1gr1
A Complete Guide To The Best Times To Post On Social Media (And More!)
Do you know the most effective times to post on social media, send an email, or publish a blog? We've broken down the data behind the most effective times to post content on Twitter, Instagram, Facebook, Content Marketing, and Email.
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...GMP EDUCATION : Not for Profit Organization
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part II in the series- deals with the concepts of Quality Target Product Profile and Critical Quality attributes.This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide webHow Often Should You Post to Facebook and Twitter
Make your social media frequency the most valuable. Find out how often you should be posting to Facebook, Twitter, LinkedIn, Google+ and more.
6 Questions to Lead You to a Social Media Strategy
It can be intimidating and overwhelming to try to develop a social media strategy, but if you follow through on these six questions, your strategy will reveal itself.
How to Determine the ROI of Anything
What's the ROI of a Piano? What's the ROI of a YouTube channel? What's the ROI of anything!? After you read this deck you'll be able to answer all these questions easily.
Go Viral on the Social Web: The Definitive How-To guide!
Creating a Viral Content success story has no recipe. It has a lot of variables, not all of which can be controlled by a Brand. However, this deck offers you the ideal How-To approach in creating tasteful, inspired Content that will help your message stand out from the information noise on Social Web and make people eager to share it around.
Why Content Marketing Fails
Rand Fishkin discusses why content marketing often fails and provides 5 key reasons: 1) Unrealistic expectations of how content marketing works, 2) Creating content without a community to amplify it, 3) Focusing on content creation but not amplification, 4) Ignoring search engine optimization, and 5) Giving up too soon and not allowing time for content to gain traction. He emphasizes that content marketing is a long-term process of building relationships and that most successful content took years of iteration before gaining significant reach.
Build Features, Not Apps
Presented at Tokyo iOS Meetup https://www.meetup.com/TokyoiOSMeetup/events/234405194/
Video here: https://www.youtube.com/watch?v=lJlyR8chDwo
Viewers also liked (16)
50 Expert Tips for Getting Started on Social Media
50 Expert Tips for Getting Started on Social Media
A Complete Guide To The Best Times To Post On Social Media (And More!)
A Complete Guide To The Best Times To Post On Social Media (And More!)
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...
Quality by Design : Quality Target Product Profile & Critical Quality Attrib...
6 Questions to Lead You to a Social Media Strategy
6 Questions to Lead You to a Social Media Strategy
Go Viral on the Social Web: The Definitive How-To guide!
Go Viral on the Social Web: The Definitive How-To guide!
Similar to 3D Analyst - Cut and Fill
Advancing Scientific Data Support in ArcGIS
The document discusses how ArcGIS can be used to ingest, visualize, analyze, and share scientific data stored in formats like netCDF, HDF, and GRIB, including directly reading these files, creating multidimensional mosaics for aggregation, analyzing spatial and temporal patterns, publishing services and maps, and extending capabilities through Python tools and custom geoprocessing. ArcGIS supports the full scientific data workflow from ingesting data to sharing final results and apps on the web and with other platforms like WMS and Dapple Earth Explorer.
Design Pattern of HBase Configuration
Principals about how to design schema in HBase based on two datasets; which are applied to a big data platform PoC within a hybrid cloud.
The next generation of the Montage image mosaic engine
Presentation given by Bruce Berriman at the Astronomical Data Analysis Software & Systems XXV (ADASS XXV) Conference, Sydney, Australia, October 29, 2015.
Authors: G. B. Berriman, J.C. Good, B. Rusholme, T. Robitaille.
Streaming Distributed Data Processing with Silk #deim2014
Silk is a framework for building and running complex workflows of distributed data processing. It allows describing dataflows in Scala in a type safe and concise syntax. Silk translates Scala programs into logical plans and schedules the distributed execution through various "weavers" like an in-memory weaver or Hadoop weaver. It performs static and run-time optimizations of dataflows and supports features like fault tolerance, resource monitoring, and UNIX command integration. The goal of Silk is to enable distributed data analysis for all data scientists through an object-oriented programming model.
World wind java sdk in progess
World Wind Java (WWJ) is an open source 3D globe created by NASA that allows users to interactively view Earth from satellite altitude down to the surface. WWJ uses JOGL as its rendering engine and displays geospatial data layers like satellite imagery, elevation models, and vector data. To customize WWJ, developers can configure new data layers and styles through an XML configuration file and implement their own layer classes to display custom data types and geometries on the globe. WWJ tessellates elevation data into triangular mesh tiles using a rectangular tessellation algorithm to render terrain.
Lens: Data exploration with Dask and Jupyter widgets
Lens is an open source Python library for automated data exploration of large datasets using Dask. It computes summary statistics and relationships between columns in a dataset. The results are serialized to JSON for interactive exploration through Jupyter widgets or a web UI. Dask allows the computations to run in parallel across a cluster for scalability. Lens integrates with the SherlockML platform to analyze all datasets uploaded.
Ronalao termpresent
This document describes building an OLAP cube reporting solution using data from the Netflix OLTP database. It involves extracting data from the Netflix database, loading it into staging tables, transforming the data, and loading it into dimensional tables and fact tables in a data warehouse. Three OLAP cubes (Rental, DVD, and Payment) are created to generate dynamic multidimensional reports for Netflix. The process flow, database diagrams, cube dimensions/measures, and sample reports are documented.
How to empower community by using GIS lecture 2
The document provides instructions for completing a GIS project using ArcGIS software. It outlines 4 steps: 1) Identifying project objectives which in this case is siting a wastewater treatment plant. 2) Creating a project database by assembling data layers and defining their coordinate systems. 3) Analyzing the data using tools in ArcToolbox to apply criteria to potential sites. 4) Presenting results to stakeholders like a city council. It then gives examples of using ArcCatalog to organize data and ArcToolbox tools to manage data formats and projections as part of completing the project.
Data Time Travel by Delta Time Machine
Who knew time travel could be possible!
While you can use the features of Delta Lake, what is actually happening underneath the covers? We will walk you through the concepts of ACID transactions, Delta time machine, Transaction protocol and how Delta brings reliability to data lakes. Organizations can finally standardize on a clean, centralized, versioned big data repository in their own cloud storage for analytics
Containerized Stream Engine to Build Modern Delta Lake
As days goes, everything is changing, your business, your analytics platform and your data. So, Deriving the real time insights from this humongous volume of data are key for survival. This robust solution can operate you to the speed of change.
D3 Mapping Visualization
Map visualization using D3 js and Topojson File Format. Meclenburg county Zip Codes are shown with a overlay of per-capita income and (arbitrary) number of Starbucks.
D3.JS Tips & Tricks (export to svg, crossfilter, maps etc.)
This presentation has been prepared by Oleksii Prohonnyi for LvivJS 2015 conference (http://lvivjs.org.ua/)
See the speech in Russian by the following link: https://youtu.be/oi7JhB8eWnA
ERFEG Seminar Fall 2008
The document outlines methods for automating the extraction of watershed characteristics from raster datasets to be used for regional environmental modeling. It describes developing custom ArcGIS tools to calculate descriptive statistics for multiple raster layers across thousands of watersheds in a batch process, avoiding manual and error-prone operations. A case study demonstrates extracting characteristics from 1 to 13 raster datasets representing topography, climate, soil, and land use across 1,466 watersheds. The automated process is estimated to save at least 95% of the labor time compared to manual methods. The tools make regional environmental studies more efficient.
Fake News and Their Detection
This activity represented the final assignment for the Data Science and Big Data Analysis course within the domain of Natural Language Processing (NLP) at Pavia University. The dataset utilized for this project is accessible through the following link: https://zenodo.org/record/4561253. Professor Antonino Nocera provided guidance throughout the assignment. The collaborative efforts behind the project involve Arnold Fonkou, Vignesh Kumar Kembu, Ashina Nurkoo, and Seyedkourosh Sajjadi.
Distributed Computing for Everyone
Data-intensive tasks call for distributed computation. By using one of the many available libraries based on the Hadoop Spark engine, even a newcomer of distributed computing can take advantage of parallelism using familiar programming languages without having to worry about the underlying data and task distribution. We present demos of SparkR (the distributed version of R), Koalas (similar to Pandas) and SparkSQL.
Presentation at ASHPC22, the Austrian-Slovenian HPC Meeting - 31 May – 2 June 2022 (https://vsc.ac.at/research/conferences/ashpc22/).
Mypreson 27
This document discusses big data problems and processing big data using MapReduce. It begins with an introduction to big data problems and why data is growing faster than computation speeds. It then provides an overview of MapReduce, describing the basic elements of MapReduce programs including the map and reduce functions. The rest of the document dives deeper into MapReduce concepts through examples, including providing details on how to write a "Hello World" word count MapReduce program in MapReduce from scratch. It walks through the key components of a MapReduce job like the mapper, reducer, job configuration, and job submission. Finally, it proposes another example of building a word co-occurrence matrix from a large corpus to analyze the frequency of words appearing near each
Data Time Travel by Delta Time Machine
The document discusses time travel capabilities in Delta Lake for data warehousing and analytics. It introduces key time travel use cases like data archiving, rollbacks, reproducing machine learning experiments, and governance. It then explains how Delta Lake enables time travel through its transaction log and ability to retrieve past versions or snapshots of tables. The presentation concludes with a demonstration of these time travel features.
SAADATMAND_PYTHON
The Python script processes GPS data to visualize it in 3D space-time. It adds fields to the GPS point feature class for hour, minute, second values extracted from the date/time field. It calculates these values and additional time fields. The script then uses the fields to generate 3D line features representing the GPS track over time, for visualization in ArcScene.
Graph computation
~ Graph of the Internet
~ Table data
~ Compute configuration
~ Graph data structures
~ Tweaking for memory
New Directions for Apache Arrow
- Apache Arrow is an open-source project that provides a shared data format and library for high performance data analytics across multiple languages. It aims to unify database and data science technology stacks.
- In 2021, Ursa Labs joined forces with GPU-accelerated computing pioneers to form Voltron Data, continuing development of Apache Arrow and related projects like Arrow Flight and the Arrow R package.
- Upcoming releases of the Arrow R package will bring additional query execution capabilities like joins and window functions to improve performance and efficiency of analytics workflows in R.
Similar to 3D Analyst - Cut and Fill (20)
The next generation of the Montage image mosaic engine
The next generation of the Montage image mosaic engine
Streaming Distributed Data Processing with Silk #deim2014
Streaming Distributed Data Processing with Silk #deim2014
Lens: Data exploration with Dask and Jupyter widgets
Lens: Data exploration with Dask and Jupyter widgets
Containerized Stream Engine to Build Modern Delta Lake
Containerized Stream Engine to Build Modern Delta Lake
D3.JS Tips & Tricks (export to svg, crossfilter, maps etc.)
D3.JS Tips & Tricks (export to svg, crossfilter, maps etc.)
More from Hartanto Sanjaya
Kerjasama Kajian Hyperspectral OPT PTISDA - BBPOPT
Kerjasama antara BPPT dan Kementan melakukan kajian peramalan dan pengamatan OPT pada tanaman pangan dengan menggunakan teknologi spasial dan hyperspectral, meliputi peramalan sebaran serangan BLB berbasis radar cuaca, pengamatan sebaran OPT menggunakan hyperspectral, dan pembangunan peta sebaran OPT secara daring.
Pemanfaatan Hyperspectral dalam Bidang Pertanian
Presentasi pada Seminar dalam rangka Pekan Peramalan OPT Tanaman Pangan di BBPOPT Jatisari, 25 Agustus 2013.
Ekspose Kegiatan "Hyperspectral-OPT"
Materi presentasi ekspose kegiatan bersama PTISDA (BPPT) dan BB POPT (Kementan) mengenai "Hyperspectral-OPT" pada 18 Maret 2013 di Jatisari, Karawang, Jawa Barat.
Untuk pengunduhan silakan ke http://goo.gl/IeHS4.
Sijampang - Sistem Informasi Hujan dan Genangan Berbasis Keruangan
Sijampang adalah sistem informasi hujan dan genangan berbasis keruangan yang menggabungkan data radar cuaca, partisipasi publik, dan metode hybrid untuk memberikan peta hujan interaktif dan informasi sebaran hujan secara real-time. Aplikasi ini memungkinkan pengguna untuk mengirimkan laporan hujan dan genangan lewat SMS atau email dari berbagai lokasi di Indonesia guna membangun basis data hujan secara kolaboratif.
Citra Anaglyph untuk Tampakan 3-Dimensi
Dokumen ini memberikan instruksi cara membuat citra anaglyph untuk tampilan 3D dengan menggunakan perangkat lunak ILWIS. Langkah-langkahnya meliputi impor citra satelit dan DEM, pembuatan pasangan stereo, pemilihan kombinasi warna, dan penampilan hasil akhir menggunakan kacamata 3D.
Iwan Ridwansyah Morphometricand Watershedof Lake Diatas
MORPHOMETRIC CHARACTERISTIC and GENERATING WATERSHED in DIATAS LAKE West Sumatera
by
Iwan Ridwansyah
Jimmy A Kadar Vol Of Water Cirata
The document summarizes the calculation of water volume in the Cirata Dam reservoir located in Cirata Village, Purwakarta, West Java. It provides data on the dam's watershed coverage area and annual electricity usage. The objective is to exhibit the volume of water in Cirata Dam, West Java. Bathymetry data from LIPI is used to convert dam bathymetry into a TIN format. The planimetric area is calculated as 173340380.082 square meters, surface area as 174075213.241 square meters, and volume as 15427350368.034 cubic meters above a base height of 120 meters.
3D Analyst Lab 1
The document discusses various 3D analysis techniques that can be performed in GIS software including interpolating grid surfaces using inverse distance weighting and spline interpolation, creating contours and calculating slope, aspect and hillshade from grids and TINs, analyzing cut/fill volumes between surfaces, and conducting line of sight and viewshed visibility analyses.
3 D Analyst
The document discusses the capabilities of ArcView's 3D Analyst extension. It can create and analyze 3D shapes, surfaces, and terrain data. Surface modeling in 3D Analyst uses either grids or triangulated irregular networks (TINs) to represent terrain. Grids partition space into cells storing numeric values, while TINs use triangles connecting points with x, y, z coordinates. 3D Analyst allows visualization and analysis of 3D data including contours, slopes, aspects, areas, volumes, and visibility.
3D Analyst - Lab
This document provides an overview of tools and techniques for 3D analysis in GIS, including interpolating surfaces from point data, creating contours and derivative surfaces, analyzing visibility, and comparing surfaces for cut-fill analysis. It discusses various interpolation methods like inverse distance weighting and spline that can be used to generate grid surfaces from point data. Methods for analyzing terrain properties like slope, aspect and hillshade are also covered. The document concludes with explanations of how to determine line of sight and create viewsheds for visibility analysis, as well as how to compare two surfaces to determine cut and fill volumes.
3D Analyst
The document discusses the capabilities of ArcView's 3D Analyst extension. It can create and visualize 3D shapes and surfaces through tools like grids, TINs, and perspective viewing. Grids partition space into cells with numeric values, while TINs represent surfaces with triangles. The extension supports analyzing elevation, slope, aspect and other continuous spatial phenomena. It also provides instructions for an assignment involving preparing elevation point data and contours to model a terrain surface.
More from Hartanto Sanjaya (13)
Kerjasama Kajian Hyperspectral OPT PTISDA - BBPOPT
Kerjasama Kajian Hyperspectral OPT PTISDA - BBPOPT
Sijampang - Sistem Informasi Hujan dan Genangan Berbasis Keruangan
Sijampang - Sistem Informasi Hujan dan Genangan Berbasis Keruangan
Iwan Ridwansyah Morphometricand Watershedof Lake Diatas
Iwan Ridwansyah Morphometricand Watershedof Lake Diatas
Recently uploaded
Machine Learning in Business - A power point presentation.pptx
Power point presentation on machine learning.
1比1复刻(ksu毕业证书)美国堪萨斯州立大学毕业证本科文凭证书原版一模一样
原版定制【微信:bwp0011】《(ksu毕业证书)美国堪萨斯州立大学毕业证本科文凭证书》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
快速办理(RWTH毕业证书)德国亚琛工业大学毕业证录取通知书一模一样
原件一模一样【微信：bwp0011】《(RWTH毕业证书)德国亚琛工业大学毕业证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
【主营项目】
一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(RMIT毕业证)皇家墨尔本理工大学毕业证如何办理
RMIT硕士学位证成绩单【微信95270640】《皇家墨尔本理工大学毕业证书》《QQ微信95270640》学位证书电子版：在线制作皇家墨尔本理工大学毕业证成绩单GPA修改（制作RMIT毕业证成绩单RMIT文凭证书样本）、皇家墨尔本理工大学毕业证书与成绩单样本图片、《RMIT学历证书学位证书》、皇家墨尔本理工大学毕业证案例毕业证书制作軟體、在线制作加拿大硕士学历证书真实可查.
【本科硕士】皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单（GPA修改）；学历认证（教育部认证）；大学Offer录取通知书留信认证使馆认证；雅思语言证书等高仿类证书。
办理流程：
1客户提供办理皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
真实网上可查的证明材料
1教育部学历学位认证留服官网真实存档可查永久存档。
2留学回国人员证明（使馆认证）使馆网站真实存档可查。
我们对海外大学及学院的毕业证成绩单所使用的材料尺寸大小防伪结构（包括：皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单隐形水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪）都有原版本文凭对照。质量得到了广大海外客户群体的认可同时和海外学校留学中介做到与时俱进及时掌握各大院校的（毕业证成绩单资格证结业证录取通知书在读证明等相关材料）的版本更新信息能够在第一时间掌握最新的海外学历文凭的样版尺寸大小纸张材质防伪技术等等并在第一时间收集到原版实物以求达到客户的需求。
本公司还可以按照客户原版印刷制作且能够达到客户理想的要求。有需要办理证件的客户请联系我们在线客服中心微信：95270640 或咨询在线父亲的家很狭小除了一张单人床和一张小方桌几乎没有多余的空间山娃一下子就联想起学校的男小便处山娃很想笑却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气不能跟陌生人搭腔更不能乱跑一怕迷路二怕拐子拐人山娃很惊惧去年村里的田鸡就因为跟父亲进城一不小心被人拐跑了至今不见踪影害不
高仿英国伦敦艺术大学毕业证（ual毕业证书）文凭证书原版一模一样
原版一模一样【微信：741003700 】【英国伦敦艺术大学毕业证（ual毕业证书）文凭证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
做澳洲澳大利亚国立大学毕业证荣誉学位证书原版一模一样
原版一模一样【微信：741003700 】【澳洲澳大利亚国立大学毕业证荣誉学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
RMIT University degree offer diploma Transcript
澳洲RMIT毕业证书制作RMIT假文凭定制Q微168899991做RMIT留信网教留服认证海牙认证改RMIT成绩单GPA做RMIT假学位证假文凭高仿毕业证申请墨尔本皇家理工大学RMIT University degree offer diploma Transcript
What's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightnessLabour Market Information Council | Conseil de l’information sur le marché du travail
In a tight labour market, job-seekers gain bargaining power and leverage it into greater job quality—at least, that’s the conventional wisdom.
Michael, LMIC Economist, presented findings that reveal a weakened relationship between labour market tightness and job quality indicators following the pandemic. Labour market tightness coincided with growth in real wages for only a portion of workers: those in low-wage jobs requiring little education. Several factors—including labour market composition, worker and employer behaviour, and labour market practices—have contributed to the absence of worker benefits. These will be investigated further in future work.New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy Visa
Discover essential details about Thailand's recent visa policy changes, tailored for tourists and students. Amit Kakkar Easy Visa provides a comprehensive overview of new requirements, application processes, and tips to ensure a smooth transition for all travelers.
Optimizing Net Interest Margin (NIM) in the Financial Sector (With Examples).pdf
NIM is calculated as the difference between interest income earned and interest expenses paid, divided by interest-earning assets.
Importance: NIM serves as a critical measure of a financial institution's profitability and operational efficiency. It reflects how effectively the institution is utilizing its interest-earning assets to generate income while managing interest costs.
快速办理(美国Fordham毕业证书)福德汉姆大学毕业证学历证书一模一样
学校原件一模一样【微信：741003700 】《(美国Fordham毕业证书)福德汉姆大学毕业证学历证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Enhancing Asset Quality: Strategies for Financial Institutions
Ensuring robust asset quality is not just a mere aspect but a critical cornerstone for the stability and success of financial institutions worldwide. It serves as the bedrock upon which profitability is built and investor confidence is sustained. Therefore, in this presentation, we delve into a comprehensive exploration of strategies that can aid financial institutions in achieving and maintaining superior asset quality.
Who Is Abhay Bhutada, MD of Poonawalla Fincorp
Abhay Bhutada, the Managing Director of Poonawalla Fincorp Limited, is an accomplished leader with over 15 years of experience in commercial and retail lending. A Qualified Chartered Accountant, he has been pivotal in leveraging technology to enhance financial services. Starting his career at Bank of India, he later founded TAB Capital Limited and co-founded Poonawalla Finance Private Limited, emphasizing digital lending. Under his leadership, Poonawalla Fincorp achieved a 'AAA' credit rating, integrating acquisitions and emphasizing corporate governance. Actively involved in industry forums and CSR initiatives, Abhay has been recognized with awards like "Young Entrepreneur of India 2017" and "40 under 40 Most Influential Leader for 2020-21." Personally, he values mindfulness, enjoys gardening, yoga, and sees every day as an opportunity for growth and improvement.
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
How will new technology fields affect economic trade?
在线办理(GU毕业证书)美国贡萨加大学毕业证学历证书一模一样
学校原件一模一样【微信：741003700 】《(GU毕业证书)美国贡萨加大学毕业证学历证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Detailed power point presentation on compound interest and how it is calculated
Detailed information about compund interest
The Impact of Generative AI and 4th Industrial Revolution
This infographic explores the transformative power of Generative AI, a key driver of the 4th Industrial Revolution. Discover how Generative AI is revolutionizing industries, accelerating innovation, and shaping the future of work.
Accounting Information Systems (AIS).pptx
An accounting information system (AIS) refers to tools and systems designed for the collection and display of accounting information so accountants and executives can make informed decisions.
Independent Study - College of Wooster Research (2023-2024)
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
在线办理(TAMU毕业证书)美国德州农工大学毕业证PDF成绩单一模一样
学校原件一模一样【微信：741003700 】《(TAMU毕业证书)美国德州农工大学毕业证PDF成绩单》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Recently uploaded (20)
Machine Learning in Business - A power point presentation.pptx
Machine Learning in Business - A power point presentation.pptx
What's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightness
New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy Visa
New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy Visa
Optimizing Net Interest Margin (NIM) in the Financial Sector (With Examples).pdf
Optimizing Net Interest Margin (NIM) in the Financial Sector (With Examples).pdf
Enhancing Asset Quality: Strategies for Financial Institutions
Enhancing Asset Quality: Strategies for Financial Institutions
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
Detailed power point presentation on compound interest and how it is calculated
Detailed power point presentation on compound interest and how it is calculated
The Impact of Generative AI and 4th Industrial Revolution
The Impact of Generative AI and 4th Industrial Revolution
Independent Study - College of Wooster Research (2023-2024)
Independent Study - College of Wooster Research (2023-2024)
3D Analyst - Cut and Fill
- 1. Three Dimensional Analysis ( Cut and Fill ) Delon Marthinus G051060051 Obj: Determine the material loss in Grasberg, Papua Caused by Private company Exploration
- 3. Flow diagram of analysis
- 18. 3d view The loss material area