The surveyed boundaries of NZ Land are commonly represented through the mapping of cadastral parcels. This mapping is of variable accuracy, yet a common myth is that the mapping of the boundary is of the same accuracy as its 'on the ground' definition. Visualising the accuracy enables users to better understand whether the mapping is fit for their purpose. This presentation proposes a methodology that treats accuracy as an area of ambiguity (similar to buffering), and the mapped boundary therfore becomes the 'best guess' of its 'on ground' position.
This document discusses land surveying methods and measurements, the purpose of land descriptions and surveys, and types of legal land descriptions. It covers surveying using GPS and total stations, common linear and area units, and why boundary and improvement surveys are obtained. Legal description types include metes and bounds, recorded plats, and the Public Land Survey System.
This document discusses land surveying methods and processes. It covers common surveying techniques like GPS and total stations, units of measurement, and reasons for obtaining boundary and improvement surveys, such as establishing property existence and locations. Legal descriptions are also examined, including metes and bounds, recorded plats, and the Public Land Survey System.
This document discusses land surveying methods and measurements, the purpose of land descriptions and surveys, and types of legal land descriptions. It covers surveying using GPS and total stations, common linear and area units, and why boundary and improvement surveys are obtained. Legal description types include metes and bounds, recorded plats, and the Public Land Survey System.
This presentation discusses the process of excretion in the human body. It contains the following key points:
1. Kidneys are the main organs that remove waste from the blood and expel it from the body in the form of urine. There are usually two kidneys in the human body.
2. The kidneys contain millions of filtering units called nephrons that remove waste from the blood to form urine. Urine is stored in the bladder and expelled through the urethra.
3. The kidneys play an important role in homeostasis by regulating the chemical composition of the blood and removing toxins.
Academic Statement Jasmine Logue September 2015Jasmine Logue
This academic statement summarizes the undergraduate coursework and performance of Jasmine Logue from 2011 to 2015 at the University of New South Wales. It shows that she majored in International Relations as part of an Arts/Law degree. Over the course of her studies, she completed 242 credit units with an overall weighted average mark of 81.5. She received several prizes for academic excellence from the Faculty of Arts and Social Sciences.
SUNY Presentation Interplay Between ADA, FMLA and WC (1)John C. Farruggio
This document discusses the interplay between the Family Medical Leave Act (FMLA), Americans with Disabilities Act (ADA), and workers' compensation laws. It provides examples of how leaves required by each law may overlap and notes important differences. FMLA provides unpaid leave for qualified employees' own or family members' serious health conditions. The ADA requires accommodations that allow disabled employees to perform essential job functions. Workers' compensation provides benefits for work-related injuries but does not determine ADA coverage. Employers must consider an employee's rights under each law separately and coordinate appropriate actions.
keuntungan dan kerugian dari SOSMED(MediaSosial)iqbalsyhfkr
Twitter memiliki batasan karakter tweet yang pendek dan banyak simbol yang harus diingat penggunanya. Google Plus kurang populer dan penggunanya berkurang. Facebook sering mengubah tampilan. Instagram hanya memungkinkan video pendek dan foto kecil. Youtube memiliki konten yang tidak berguna atau pornografi yang diunggah secara bebas.
This document discusses land surveying methods and measurements, the purpose of land descriptions and surveys, and types of legal land descriptions. It covers surveying using GPS and total stations, common linear and area units, and why boundary and improvement surveys are obtained. Legal description types include metes and bounds, recorded plats, and the Public Land Survey System.
This document discusses land surveying methods and processes. It covers common surveying techniques like GPS and total stations, units of measurement, and reasons for obtaining boundary and improvement surveys, such as establishing property existence and locations. Legal descriptions are also examined, including metes and bounds, recorded plats, and the Public Land Survey System.
This document discusses land surveying methods and measurements, the purpose of land descriptions and surveys, and types of legal land descriptions. It covers surveying using GPS and total stations, common linear and area units, and why boundary and improvement surveys are obtained. Legal description types include metes and bounds, recorded plats, and the Public Land Survey System.
This presentation discusses the process of excretion in the human body. It contains the following key points:
1. Kidneys are the main organs that remove waste from the blood and expel it from the body in the form of urine. There are usually two kidneys in the human body.
2. The kidneys contain millions of filtering units called nephrons that remove waste from the blood to form urine. Urine is stored in the bladder and expelled through the urethra.
3. The kidneys play an important role in homeostasis by regulating the chemical composition of the blood and removing toxins.
Academic Statement Jasmine Logue September 2015Jasmine Logue
This academic statement summarizes the undergraduate coursework and performance of Jasmine Logue from 2011 to 2015 at the University of New South Wales. It shows that she majored in International Relations as part of an Arts/Law degree. Over the course of her studies, she completed 242 credit units with an overall weighted average mark of 81.5. She received several prizes for academic excellence from the Faculty of Arts and Social Sciences.
SUNY Presentation Interplay Between ADA, FMLA and WC (1)John C. Farruggio
This document discusses the interplay between the Family Medical Leave Act (FMLA), Americans with Disabilities Act (ADA), and workers' compensation laws. It provides examples of how leaves required by each law may overlap and notes important differences. FMLA provides unpaid leave for qualified employees' own or family members' serious health conditions. The ADA requires accommodations that allow disabled employees to perform essential job functions. Workers' compensation provides benefits for work-related injuries but does not determine ADA coverage. Employers must consider an employee's rights under each law separately and coordinate appropriate actions.
keuntungan dan kerugian dari SOSMED(MediaSosial)iqbalsyhfkr
Twitter memiliki batasan karakter tweet yang pendek dan banyak simbol yang harus diingat penggunanya. Google Plus kurang populer dan penggunanya berkurang. Facebook sering mengubah tampilan. Instagram hanya memungkinkan video pendek dan foto kecil. Youtube memiliki konten yang tidak berguna atau pornografi yang diunggah secara bebas.
- More data is being created and stored every year, increasing the value of business data but also the risk of losing it through disasters, failures, breaches or viruses.
- Small businesses are at greater risk of data loss and downtime than larger businesses as they have fewer resources to prevent or recover from these incidents. Losing data can force small businesses to close within a year.
- Having a backup and disaster recovery solution is essential for businesses to avoid costs from downtime and data loss. It protects data, meets compliance needs, and ensures the business can continue operating even during a disaster.
This document describes a proposed universal atomic and molecular detector for use in atom interferometry experiments. It aims to detect any atom or molecule, in contrast to existing "hot wire" detectors which only work for atoms with ionization potentials near the wire's work function. The proposed detector uses electron impact ionization: a beam of electrons ionizes atoms in an ionization region, and the ions are then mass filtered and counted. This would allow testing of atomic properties like polarizability predicted by theory. It is motivated by applications like testing parity non-conservation and improving atomic clocks. The document discusses design considerations and ideas like using shaped electron/atom beams or pinching magnets to increase ionization efficiency.
Pohjois-Karjala: Uusiutuvan energian ja energiatehokkuuden hyvät käytännötUlla Ala-Ketola
Uusiutuvan energian ja energiatehokkuuden hyviä käytäntöjä Pohjois-Karjalasta. Näissä ratkaisukorteissa kerrotaan toimenpiteen tekijä, investoinnin suuruus sekä säästö- ja päästövaikutukset. Toimenpiteet ovat osa HINKU-osahanketta (PK-HINKU) Kohti öljyvapaata ja vähähiilistä Pohjois-Karjalaa, jonka toteuttajina toimivat Pohjois-Karjalan maakuntaliitto ja Suomen ympäristökeskus SYKE.
This presentation discusses the process of excretion in the human body. It contains the following key points:
1. Kidneys act as filters to remove waste from the bloodstream in the form of urine. The average human has two kidneys located near the backbone.
2. Urine is transported from the kidneys to the bladder via the ureters. The bladder stores urine until it is released from the body through the urethra.
3. The kidneys, ureters, bladder, and urethra work together to remove toxins and regulate fluid levels in the body through urination.
El CD-ROM es un disco óptico de almacenamiento de datos que se puede leer pero no escribir. Fue introducido en 1984 y revolucionó la forma en que se distribuía y accedía a la información, ya que podía almacenar grandes cantidades de datos como enciclopedias, diccionarios y programas de computadora. El CD-ROM se ha convertido en una forma popular y duradera de distribuir software, datos y contenido multimedia.
This document discusses youth development programs run by the YMCA. It serves over 9 million kids annually in early childhood education, afterschool programs, and day camps. The document outlines desired short-term outcomes like achievement, relationships, and belonging. It advocates for youth-led activities to help develop youth responsibility, problem-solving, and critical thinking. It provides six steps for staff to facilitate youth-led planning and activities: introduction, gathering ideas, selecting activities, handling decisions, planning, and conclusion.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Парикмахерский бренд Joico в прессе март 2016nk010282
This document lists publications from March 2016 in Russia that mention press cuttings. It includes glossy magazines like Burda, Marie Claire and Top Beauty with their circulations and readerships. It also lists the trade magazine Hairs. Several online publications that mention the press cuttings are also listed, along with their monthly reach, such as woman.ru and elle.ru. Details on an actress photo shoot in Atmosphera magazine are provided as well.
Парикмахерский бренд Amika в прессе январь 2016nk010282
The document lists two social media profiles from Russia in January 2016. The first is a website called passion.ru from January 2015 located in Russia. The second is an Instagram account called beautycosblog from January 2015 in Russia with 11,600 followers.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
- More data is being created and stored every year, increasing the value of business data but also the risk of losing it through disasters, failures, breaches or viruses.
- Small businesses are at greater risk of data loss and downtime than larger businesses as they have fewer resources to prevent or recover from these incidents. Losing data can force small businesses to close within a year.
- Having a backup and disaster recovery solution is essential for businesses to avoid costs from downtime and data loss. It protects data, meets compliance needs, and ensures the business can continue operating even during a disaster.
This document describes a proposed universal atomic and molecular detector for use in atom interferometry experiments. It aims to detect any atom or molecule, in contrast to existing "hot wire" detectors which only work for atoms with ionization potentials near the wire's work function. The proposed detector uses electron impact ionization: a beam of electrons ionizes atoms in an ionization region, and the ions are then mass filtered and counted. This would allow testing of atomic properties like polarizability predicted by theory. It is motivated by applications like testing parity non-conservation and improving atomic clocks. The document discusses design considerations and ideas like using shaped electron/atom beams or pinching magnets to increase ionization efficiency.
Pohjois-Karjala: Uusiutuvan energian ja energiatehokkuuden hyvät käytännötUlla Ala-Ketola
Uusiutuvan energian ja energiatehokkuuden hyviä käytäntöjä Pohjois-Karjalasta. Näissä ratkaisukorteissa kerrotaan toimenpiteen tekijä, investoinnin suuruus sekä säästö- ja päästövaikutukset. Toimenpiteet ovat osa HINKU-osahanketta (PK-HINKU) Kohti öljyvapaata ja vähähiilistä Pohjois-Karjalaa, jonka toteuttajina toimivat Pohjois-Karjalan maakuntaliitto ja Suomen ympäristökeskus SYKE.
This presentation discusses the process of excretion in the human body. It contains the following key points:
1. Kidneys act as filters to remove waste from the bloodstream in the form of urine. The average human has two kidneys located near the backbone.
2. Urine is transported from the kidneys to the bladder via the ureters. The bladder stores urine until it is released from the body through the urethra.
3. The kidneys, ureters, bladder, and urethra work together to remove toxins and regulate fluid levels in the body through urination.
El CD-ROM es un disco óptico de almacenamiento de datos que se puede leer pero no escribir. Fue introducido en 1984 y revolucionó la forma en que se distribuía y accedía a la información, ya que podía almacenar grandes cantidades de datos como enciclopedias, diccionarios y programas de computadora. El CD-ROM se ha convertido en una forma popular y duradera de distribuir software, datos y contenido multimedia.
This document discusses youth development programs run by the YMCA. It serves over 9 million kids annually in early childhood education, afterschool programs, and day camps. The document outlines desired short-term outcomes like achievement, relationships, and belonging. It advocates for youth-led activities to help develop youth responsibility, problem-solving, and critical thinking. It provides six steps for staff to facilitate youth-led planning and activities: introduction, gathering ideas, selecting activities, handling decisions, planning, and conclusion.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Парикмахерский бренд Joico в прессе март 2016nk010282
This document lists publications from March 2016 in Russia that mention press cuttings. It includes glossy magazines like Burda, Marie Claire and Top Beauty with their circulations and readerships. It also lists the trade magazine Hairs. Several online publications that mention the press cuttings are also listed, along with their monthly reach, such as woman.ru and elle.ru. Details on an actress photo shoot in Atmosphera magazine are provided as well.
Парикмахерский бренд Amika в прессе январь 2016nk010282
The document lists two social media profiles from Russia in January 2016. The first is a website called passion.ru from January 2015 located in Russia. The second is an Instagram account called beautycosblog from January 2015 in Russia with 11,600 followers.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
1. Parcel Boundaries:
Visualising the accuracy myth
Andrew Clouston| Geospatial Team Leader
Sisi Zhang | Geospatial Analyst
ESRI User Conference 2014, Auckland, 19 August 2014
2. Overview
- The Cadastre
- How much is accurate
- Obtaining accuracy information
- Node accuracy
- Visualising Accuracy
11. 1. Catalogues, were digitised for easy searching
2. Additional information was added to the
catalogue
Library Analogy
12. 1. Catalogues, were digitised for easy searching
2. Additional information was added to the
catalogue
3. Books were digitised (or created as e-books)
and digital catalogue and library merged.
Library Analogy
13. NZ does not yet have a complete
Cadastral Digital Library
1. Catalogues, were digitised for easy searching
2. Additional information was added to the
catalogue
3. Books were digitised (or created as e-books)
and digital catalogue and library merged.
Library Analogy
23. Landonline Accuracies
Group Order Order purpose
Nominal
Horizontal
Accuracy
Geodetic 1 National deformation monitoring 0.05 m
2 Regional Deformation Monitoring 0.1 m
3 0.1 m
4 Local deformation monitoring 0.15 m
24. Landonline Accuracies
Group Order Order purpose
Nominal
Horizontal
Accuracy
Geodetic 1 National deformation monitoring 0.05 m
2 Regional Deformation Monitoring 0.1 m
3 0.1 m
4 Local deformation monitoring 0.15 m
Survey control 5 Cadastral horizontal control and
Basic geospatial network
0.15 m
6 Cadastral permanent reference and
witness marks
0.15 m
25. Landonline Accuracies
Group Order Order purpose
Nominal
Horizontal
Accuracy
Accurate
Boundary
Mapping
7 Class A boundary marks (Usually Urban) 0.2 m
8 Class B boundary marks (Usually Peri-Urban) 0.5 m
9 Class C boundary marks (Usually Rural) 5 m
26. Landonline Accuracies
Group Order Order purpose
Nominal
Horizontal
Accuracy
Accurate
Boundary
Mapping
7 Class A boundary marks (Usually Urban) 0.2 m
8 Class B boundary marks (Usually Peri-Urban) 0.5 m
9 Class C boundary marks (Usually Rural) 5 m
DCDB based
Mapping
10 20 m
11 50 m
12 > 50 m
50. Boundaries
(Linestring)
Natural BoundariesParcel Boundaries
Vertices=2 Vertices>2
Buffer by average
accuracy
Accuracy Buffer
(Polygon)
Accuracy Buffer
(Polygon)
Buffer by average
accuracy
start_accuracy
<>
end_accuracy
start_accuracy =
end_accuracy
Accuracy Buffer
(Tropism Polygon)
Flag ‘Wrong Direction’
boundaries
Buffer by start and end
accuracy
51. Take home points
- Cadastral mapping is variable,
especially in rural areas
- Inaccuracy is not necessarily an error
- Accuracy information is on the LDS
- Accuracy can be visualised
The cadastre is much more than Cadastral Boundaries. These pictures give a sense of the scope and that it is much wider than just the LINZ records that people access
The cadastre is much more than Cadastral Boundaries. These pictures give a sense of the scope and that it is much wider than just the LINZ records that people access
Red is Survey capture areas at the time Landonline rolled out, yellow Spatial Parcel Improvement projects circs 2011. this is essentially 6% of NZ but is more than 70% of parcels and approx 50% of boundary marks.
Red is Survey capture areas at the time Landonline rolled out, yellow Spatial Parcel Improvement projects circs 2011. this is essentially 6% of NZ but is more than 70% of parcels and approx 50% of boundary marks.
Left: what it should be like
Right : What it actually is (this map is parcel vectors - https://data.linz.govt.nz/layer/820-nz-survey-boundary-vectors/ )
Left: what it should be like
Right : What it actually is (this map is parcel vectors - https://data.linz.govt.nz/layer/820-nz-survey-boundary-vectors/ )
The extends of cadastral adjustments is another useful layer, There are several, each with their own purposes- refer to the metadata. Search with the word ‘Adjustment’ will locate them
The extends of cadastral adjustments is another useful layer, There are several, each with their own purposes- refer to the metadata. Search with the word ‘Adjustment’ will locate them
Quick reference links for those that are interested. There is real benefits if everyone assigned the same accuracy values to their spatial data (along with a date of acquisition) so that data can be easily compared and contrasted.
These orders are generally not boundary marks, and comprise approximately 0.5% of all nodes in the cadastre
These orders are generally not boundary marks, and comprise approximately 0.5% of all nodes in the cadastre
These orders are generally not boundary marks, and comprise approximately 0.5% of all nodes in the cadastre
The accurate boundary mapping comprises of data capture when Landonline was build and subsequent surveys. The vast majority or order 7 and 8 (approximately 50%) of all nodes lie in survey capture areas.
Note that the relative accuracies between these nodes is very good (usually sub decimeter)
Order 10-12 nodes can generally trace their lineage back to DCDB mapping, however some new surveys that have been approved and not yet integrated will also be order 10, yet their accuracies will be ‘quite good’
The accurate boundary mapping comprises of data capture when Landonline was build and subsequent surveys. The vast majority or order 7 and 8 (approximately 50%) of all nodes lie in survey capture areas.
Note that the relative accuracies between these nodes is very good (usually sub decimeter)
Order 10-12 nodes can generally trace their lineage back to DCDB mapping, however some new surveys that have been approved and not yet integrated will also be order 10, yet their accuracies will be ‘quite good’
A thematic example of these nodes. Could be considered a bare minimum for user information. This is a poor visualisation as it is relatively unhelpful for most users (too much colour) but is better than nothing
A thematic example of these nodes. Could be considered a bare minimum for user information. This is a poor visualisation as it is relatively unhelpful for most users (too much colour) but is better than nothing
A thematic example of these nodes. This is a better representation where the thematic that groups orders 7-9 together for ‘trusted nodes’ and ‘10-12’ for untrusted nodes. Sometime less is more!!
Comparing the survey areas to the geometric area can identify differences. This map shows the diference (plus or minus) 1-10%. Larger differences usually relate to parcels where the survey area listed may not be correct.
This is a crude analysis that highlights distortion
Comparing the survey areas to the geometric area can identify differences. This map shows the diference (plus or minus) 1-10%. Larger differences usually relate to parcels where the survey area listed may not be correct.
This is a crude analysis that highlights distortion
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
A better may to visualise the data.
Note, The mapping in this example is actually slight worse than the orders would indicate. But it clearly indicates to users the southern boundaries are poorly mapped and should not be relied on
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.
Diagrammatic methodology for creating the buffers. Note this requires the use of large datasets and the ability to use the full Landonline marks and observations datasets.