The document describes a case study of participatory GIS used in a village in South India to address water issues, including developing simplified open source GIS software to allow villagers to gather and map spatial and attribute data and produce maps to help plan and monitor water harvesting structures. Field trials showed the customized software took less time for villagers to produce maps compared to standard GIS software.
Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Commun...MapWindow GIS
In rural South India, over the years, there has been a steady increase in ground water crises. To resolve these crises, participatory water management by increasing community involvement is essential. Participatory GIS can empower rural communities for such a role by facilitating better visualization and easier understanding. Towards this goal, as part of a Government of India funded a project, open source Quantum GIS software was simplified for use by village people. It was demonstrated in an upland village of South India and was evaluated for its ease-of-use in terms of how easily people could use it for producing and using maps and for its effectiveness in creating easier understanding and better decisions.
1. M.SC and PG.Diploma on Remote Sensing and Geographical information system.
2. Experience on Remote Sensing and GIS of 3 Years 11 Months.
3. 1 Year Diploma on Information Technology.
4.Certificate course On Remote Sensing & Gis From ISRO.
Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Commun...MapWindow GIS
In rural South India, over the years, there has been a steady increase in ground water crises. To resolve these crises, participatory water management by increasing community involvement is essential. Participatory GIS can empower rural communities for such a role by facilitating better visualization and easier understanding. Towards this goal, as part of a Government of India funded a project, open source Quantum GIS software was simplified for use by village people. It was demonstrated in an upland village of South India and was evaluated for its ease-of-use in terms of how easily people could use it for producing and using maps and for its effectiveness in creating easier understanding and better decisions.
1. M.SC and PG.Diploma on Remote Sensing and Geographical information system.
2. Experience on Remote Sensing and GIS of 3 Years 11 Months.
3. 1 Year Diploma on Information Technology.
4.Certificate course On Remote Sensing & Gis From ISRO.
Digital Ortho Image Creation of Hall County Aerial Photos Papermpadams77
Special Topics Project Paper “Digital Ortho Image Creation of Hall County Aerial Photos” which I presented at the Florida Academy of Science and Georgia Academy of Science Joint Conference held in Jacksonville, FL March 14th and 15th of 2008
My special talk on 'GIS & Remote Sensing-Introduction to the Primer’ is a part of the 'Learn from the Leaders- 2' webinar series organized by IEEE SIGHT, Bombay section on May 25th, 2021
GEO-N-VIRON webinar talk on Geospatial Technology in Sustainable EnvironmentAdityaAllamraju1
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Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 1: Introduction to GIS
geoinformatics handbook:it contains all open source software and commerical software of remote sensing,gis and photogrammerty and also all free data sources.free data sources such as DEM and LIDAR
An analysis of the Indian Cashless Health Insurance Industry identifying the key structural deficiencies leading to a situation of distrust between parties involved. The study as a part of IIM, Indore’s Consulting competition, Chanakya, organized in association with Cognizant also proposes solutions for resolving the present imbroglio between the service providers and insurance companies.
Tim Jenks (eeGeo) gave a quick overview of how they built their indoor 3D mapping application with QGIS. Presented at the 6th Scottish QGIS UK user group meeting.
One of goal of this project is seamless integration of indoor and outdoor space on top of web browser. This project aims at developing a sort of plugin for WebGL glove(Web World Wind, Cesium) to expand its functionalities and usabilities to indoor space and architectural (BIM) areas. MAGO3D can import IFC (Industry Foundation Classes) data from architecture files. And then MAGO3D can visualise massive indoor data, at least 100k objects, in a single scene seamlessly with traditional outdoor 3D GIS objects. Users can now manage and handle almost every geospatial object from desktop level to space level with MAGO3D. This project will evolve to manage and service more dynamic data such as IoT (Internet of Things), climate and weather data, and transportation.
QGIS server: the good, the not-so-good and the uglyRoss McDonald
Fiona Hemsley-Flint's presentation on QGIS Server given at the 6th Scottish QGIS UK user group meeting. Compares QGIS server with Mapserver and Geognosis.
Interactive learning analytics dashboards with ELK (Elasticsearch Logstash Ki...Andrii Vozniuk
My workshop at the Learning Analytics Summer Institute (LASI) 2016: http://lasi16.snola.es/#!/schedule/113
Educational data continues to grow in volume, velocity and variety. Making sense of the educational data in such conditions requires deployment and usage of appropriate scalable, real-time processing tools supporting a flexible data schema. Elasticsearch is one of the popular open-source tools meeting the enlisted requirements. Initially envisioned as a search engine capable of operating at scale and in real time, Elasticsearch is used by organisations such as Wikimedia and Github, which deal with big data on daily basis. In addition, Elasticsearch is used increasingly often as analytics platform thanks to its scalable architecture and expressive query language. Until recently, the exploitation of Elasticsearch for (learning) analytical purposes by practitioners was hindered by a high entrance barrier due to the complexity of the query language and the query specificities. This is currently changing with the ongoing development of Kibana, an open-source tool that allows to conduct analysis and build visualisations of Elasticsearch data through a graphical user interface. Kibana does not require the user to dive into technical details of the queries (although it is still possible) and hence makes big educational data visualisations accessible to regular users. The additional value of Kibana comes in play whenever several visualisations are combined on a single dashboard, enabling to use multiple coordinated views for an interactive explorative analysis. Both Elasticsearch and Kibana, together with Logstash are part of an analytics stack often referred to as ELK. Logstash supports data acquisition from multiple sources (including twitter, RSS, event logs) thanks to its rich set of available connectors. Custom connectors can be developed for case-specific sources. In addition to the mentioned values, ELK enables building analytics infrastructures decoupled from the learning platform, i.e., it allows to host separately the learning environment (with the analytics functionalities) and the data storage without affecting the end-user experience.
Digital Ortho Image Creation of Hall County Aerial Photos Papermpadams77
Special Topics Project Paper “Digital Ortho Image Creation of Hall County Aerial Photos” which I presented at the Florida Academy of Science and Georgia Academy of Science Joint Conference held in Jacksonville, FL March 14th and 15th of 2008
My special talk on 'GIS & Remote Sensing-Introduction to the Primer’ is a part of the 'Learn from the Leaders- 2' webinar series organized by IEEE SIGHT, Bombay section on May 25th, 2021
GEO-N-VIRON webinar talk on Geospatial Technology in Sustainable EnvironmentAdityaAllamraju1
My special talk about 'Geospatial Technology in Sustainable Environment’ is a part of the GIS Day celebration 2020 webinar session called GEO-N-VIRON on December 5th, 2020 organized by NestAbide & GeoVin Solutions Pvt. Ltd. Thiruvananthapuram, Kerala.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 1: Introduction to GIS
geoinformatics handbook:it contains all open source software and commerical software of remote sensing,gis and photogrammerty and also all free data sources.free data sources such as DEM and LIDAR
An analysis of the Indian Cashless Health Insurance Industry identifying the key structural deficiencies leading to a situation of distrust between parties involved. The study as a part of IIM, Indore’s Consulting competition, Chanakya, organized in association with Cognizant also proposes solutions for resolving the present imbroglio between the service providers and insurance companies.
Tim Jenks (eeGeo) gave a quick overview of how they built their indoor 3D mapping application with QGIS. Presented at the 6th Scottish QGIS UK user group meeting.
One of goal of this project is seamless integration of indoor and outdoor space on top of web browser. This project aims at developing a sort of plugin for WebGL glove(Web World Wind, Cesium) to expand its functionalities and usabilities to indoor space and architectural (BIM) areas. MAGO3D can import IFC (Industry Foundation Classes) data from architecture files. And then MAGO3D can visualise massive indoor data, at least 100k objects, in a single scene seamlessly with traditional outdoor 3D GIS objects. Users can now manage and handle almost every geospatial object from desktop level to space level with MAGO3D. This project will evolve to manage and service more dynamic data such as IoT (Internet of Things), climate and weather data, and transportation.
QGIS server: the good, the not-so-good and the uglyRoss McDonald
Fiona Hemsley-Flint's presentation on QGIS Server given at the 6th Scottish QGIS UK user group meeting. Compares QGIS server with Mapserver and Geognosis.
Interactive learning analytics dashboards with ELK (Elasticsearch Logstash Ki...Andrii Vozniuk
My workshop at the Learning Analytics Summer Institute (LASI) 2016: http://lasi16.snola.es/#!/schedule/113
Educational data continues to grow in volume, velocity and variety. Making sense of the educational data in such conditions requires deployment and usage of appropriate scalable, real-time processing tools supporting a flexible data schema. Elasticsearch is one of the popular open-source tools meeting the enlisted requirements. Initially envisioned as a search engine capable of operating at scale and in real time, Elasticsearch is used by organisations such as Wikimedia and Github, which deal with big data on daily basis. In addition, Elasticsearch is used increasingly often as analytics platform thanks to its scalable architecture and expressive query language. Until recently, the exploitation of Elasticsearch for (learning) analytical purposes by practitioners was hindered by a high entrance barrier due to the complexity of the query language and the query specificities. This is currently changing with the ongoing development of Kibana, an open-source tool that allows to conduct analysis and build visualisations of Elasticsearch data through a graphical user interface. Kibana does not require the user to dive into technical details of the queries (although it is still possible) and hence makes big educational data visualisations accessible to regular users. The additional value of Kibana comes in play whenever several visualisations are combined on a single dashboard, enabling to use multiple coordinated views for an interactive explorative analysis. Both Elasticsearch and Kibana, together with Logstash are part of an analytics stack often referred to as ELK. Logstash supports data acquisition from multiple sources (including twitter, RSS, event logs) thanks to its rich set of available connectors. Custom connectors can be developed for case-specific sources. In addition to the mentioned values, ELK enables building analytics infrastructures decoupled from the learning platform, i.e., it allows to host separately the learning environment (with the analytics functionalities) and the data storage without affecting the end-user experience.
Integration of GIS Based Survey procedure to update Road Network Geo-Database...Soumik Chakraborty
Project management Perspective of Project Analysis for Road Geodatabase Creation including Area analysis, Cost Analysis, Project Team, Work Package Structure
Spatial temporal urban change extraction and modeling of Kathmandu ValleyJanak Parajuli
Spatial temporal extraction and modeling of urban growth of Kathmandu valley is the project done by Kathmandu University GE final year students: Dhruba Poudel, Janak Parajuli and Kamal Shahi...it has three sections: first one is extraction of built up features second one is its quantification and change detection while the third one is its modeling so as to predict urban growth for upcoming years.
GIS aided Urban Planning for preparation of Micro-Level Plan of Channenahalli...vivatechijri
We all know the fact that the surface of earth is spherical and not a plane, and thus in the field of
Town Planning we observe errors in an actual plan or map of a region when it comes to its implementation. For
smaller areas such as a plot or a small township where the land can be considered to be flat the level of errors
observed is less or the accuracy rate is high compared with the larger areas such as a development plan or
structural plan or regional plan or even Town Planning Schemes. Remote Sensing & GIS were initially recognized
as supporting tools for planning, monitoring, and managing the appropriate utilization of the earth resources.
However, due to their multidisciplinary applications and integration with numerous other scientific and
technological fields, in the recent years they have become a distinct field of study.
In this paper we are going to learn about how GIS and remote sensing helps in the preparation of a map with
respect to actual ground co- ordinates and various uses of the same in the field of Urban Planning with an actual
work done on field under the guidance of experts in Directorate of Urban Land Transport, Urban Development
Department, Government of Karnataka.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Securing your Kubernetes cluster_ a step-by-step guide to success !
nagesh_PGIS
1. Participatory GIS in Empowering Rural Communities:
Case study of a South Indian Village
Nagesh Kolagani, Palaniappan Ramu and Koshy Varghese
IIT Madras
2. Simplifying Open Source GIS for Use by Villagers
In Map Preparation & Map Utilization; For Local Control & Low Cost
Youth gather GPS & attribute data View complex data in simple ways
School children produce GIS maps Villagers participate better
3. Outline
1. Need for Participatory GIS
Case Study of a South Indian Village
2. Software Development
Design and Implementation
Field Trials
Iterative Development
3. Conclusions
4. Outline
1. Need for Participatory GIS
Case Study of a South Indian Village
Problems
Solutions
2. Software Development
Design and Implementation
Field Trials
Iterative Development
3. Conclusions
5. Location Map of Project Villages in South India
Parigi villages (22) (phase II)
E. Palaguttapalli village (phase I)
IIT Madras
23. Outline
1. Need for Participatory GIS
Case Study of a South Indian Village
Problem: Water Crisis
Solution: PGIS-based Water Harvesting
2. Software Development
Design and Implementation
Field Trials
Iterative Development
3. Conclusions
24. Outline
1. Need for Participatory GIS
Case Study of a South Indian Village
2. Software Development
Design and Implementation
Field Trials
Iterative Development
3. Conclusions
25. Google Map of Reservoir and Farms
Does not know their descriptive data; Does not show other needed features (e.g. wells)
27. Collecting Spatial Data as GPS Waypoints
For point layers:
(such as wells)
As GPS 'way points'
For line and polygon layers:
(such as streams and farms)
As GPS tracks:
Can not deviate from boundary
Difficult for streams, farms, etc due to presence of thorny bushes, etc.
OK for roads, etc.
As GPS routes:
User interface is difficult for use by a villager
As GPS 'way points':
To be joined later using GIS
32. Comparison of villageQGIS and QGIS
Using villageQGIS software: (e.g. 3 clicks)
For each feature of each layer (of type line or polygon):
Constructing lines and polygons from GPS point data:
- specify way points to join as a string e.g. “209-213, 218, 221-224”
- visually verify correctness of boundary points & joined line/polygon
Converting lines and polygons into GIS features:
- select layer name from a list box e.g. “streams” or “farms”
- fill resulting attribute form with data from questionnaire
Using QGIS software: (e.g. at least 17 clicks)
For each feature of each layer (of type line or polygon):
- Select desired feature and select option to add new a feature
- For each GPS point: (e.g. 209,210,211,212,213,218,221,222,224”)
- locate it on the screen, using find button or appropriate label option
- draw a line connecting it to previous point
- fill resulting attribute form with data from questionnaire
- Save
39. Outline
1. Need for Participatory GIS
Case Study of a South Indian Village
2. Software Development
Design and Implementation
Field Trials
Iterative Development
3. Conclusions
40. Experiments on Ease-of-Use in Map Preparation
● Participants:
6 sub-groups of 3 village students each
● 3 sub-groups use Quantum GIS software (Control group)
● 3 sub-groups use villageQGIS software (Test group)
● Task:
Produce GIS maps from given GPS and Questionnaire data sets
41. Experiments on Ease-of-Use in Map Preparation
3
QGIS
2.5
villageQGIS
2
Ratio of times taken
(with QGIS and 1.5
with villageQGIS)
1
0.5
0
1 2 3
Experiment no.
42. Experiments on Ease-of-Use in Map Preparation
3 Desired
spatial QGIS
2.5
accuracy villageQGIS
2
Ratio of times taken
(with QGIS and 1.5
with villageQGIS)
1
0.5
0
1 2 3
Experiment no.
43. Outline
1. Need for Participatory GIS
Case Study of a South Indian Village
2. Software Development
Design and Implementation
Field Trials
Iterative Development
3. Conclusions
44. Iterative Development of GIS
For monitoring & visualization; Enforces participation & field visits
45. Providing Indian Language Interface
Simplified User Interface (UI): For facilitating participation
1. Text display in Indian languages:
- static text (such as tooltip and button labels)
-dynamic text (such as user entered data )
2. Attribute data as audio output
3. Help/instructions using audio and/or video
4. ‘Text-free UI’ (as far as possible)
E.g. User entered text in Indian languages
46. Porting to Handhelds for On-Site Map Preparation and Analysis
Map preparation as One-step On-site process: On-site Map analysis:
1. Following map preparation steps can be combined: 1. On-site map analysis for
a. Spatial data gathering using GPS better participatory planning,
b. Attribute data gathering using PDA/questionnaires implementation and
b. Preparating maps using ‘Gram Panchyat QGIS’ monitoring becomes possible.
2. This facilitates transparent verification and correction. If internet connection is
3. Created/updated map features can immediately be available, this can be an online
replicated to a central map server (e.g. open source UMN MapServer) process through web client;
through internet, facilitating social and official monitoring. else an offline process using
last available data.
Examples:
1. Samsung Galaxy Tablet 2. Akaash Tablet
Rs. 28,000 /- Rs. 2,500 /-
0.565 kg 0.350 kg
10.1'' touch screen 7'' screen
9 hours battery 2-3 hrs battery
Android 3.1 OS 3. Samsung N100 Netbook
Rs. 12,290 /-
1.03 kg
10.1'' screen
5+ hours battery
Ubuntu OS
47. Mobile SMS based Basic Map Updating and Querying
Map updating: Map querying:
1. Send updated attribute 1. Send query as structured SMS to central server and receive basic attribute data
data as structured SMS to (e.g. Basic measurement and expenditure details of such-and-such work) (‘pull’)
central server (e.g 2. Send SMS alerts about map updates, etc to registered users such as concerned
completed works) beneficiaries, officers, etc (‘push’)
48. Browser based Data Entry, Viewing & Administration
Open Source UMN Map Server & Adempiere ERP server Drill down to farms/sub-polts & households
Upload & download (push & pull) using mobile SMS,
tablets (open source Android OS) & netbooks (Ubuntu OS) Drill down up to individual vouchers
54. Tutorial
Input data:
GPS and Questionnaire data about:
- a stream and a reservoir
- farms under that reservoir, etc
Task:
Create a GIS map:
- first using villageQGIS
- then using QGIS (or Map Windows GIS)
Compare the time taken and map accuracy
55. ArcView 3.1 GIS-based Scripts for Automated Map Generation
Run a script and specify location of imported GPS & Questionnaire files
56. Using ArcView 3.1 Scripts
Enter attribute data from each questionnaire table into an Excel file
(e.g. c:av_datagps_pdawell_points.txt) and convert it into a tab-
delimited text file
1. Run ARCVIEW3.1SETUP.EXE from CD
Default directory for installation is C:ESRI.
2. Copy av_data directory from CD to C:
3. Run c:av_dataprojectproj1.apr
4. Run ‘0_main’ script and specify location of imported GPS and PDA
files: ‘proj1.apr’ window‘Scripts’ icon‘0_main’ script‘Run’
button‘Select Mapsource File’=c:av_datagps_pdamapsource.txt’Select
Attribute Files’=bw_points.txt;fm_polygons.txt;sm_lines.txt
57. Preparing Maps using ArcView 3.1 GIS without Scripts
1. For each point theme:
Based on its questionnaire table file:
1. Create a new ArcView table
2. For each record/feature:
Copy Name/Long/Lat of appropriate Waypoint from mapsource.txt into the
new ArcView table
3. Create a new Event Theme using the new ArcView table
4. Join new table with questionnaire table (after converting it into dBASE format)
2. For each line (or polygon) theme:
Based on its questionnaire table file:
1. Create a new Theme with shape = line (or polygon)
2. For each record/feature: recursive
1. Create a new ArcView table
2. Copy Long/Lat of appropriate Trackpoints from mapsource.txt into the new
ArcView table
3. Create Event Theme using the new ArcView Table
4. Create new feature by joining these points recursive
3. Join Attribute table of new theme with questionnaire table file (after converting
it into dBASE format)