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`Lecture notes for ENVR 468`
`Fall 2021`

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`Week 1`
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`Th 8/19, 12:30-1:45pm (zoom recording 8/19)`
`01_rapidIntroductionToENVR468.docx      A rapid introduction to ENVR 468`
`01b_TCEnewJerseyENVR468.pptx      Case study: TCE along the rivers of New Jersey`
`02_introductionToGIS.pptx       Introduction to GIS`
`arcGISshortCourses.htm      (Do short course 1-3 at home)`
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`Week 2 `
` `
`Tu 8/24, 12:30-1:45pm (zoom recording 8/24)  Start hwk 1`
`arcGISshortCourses.htm Go over short courses 4-6 in class `
`understandingCoordinateSystems.htm      Understanding coordinate systems`
`03_CalculusUsefulForStat.docx       Calculus useful for statistics`
` `
`Th 8/26, 12:30-1:45pm (zoom recording 8/26) `
`Continuation of coordinate systems in ArcGIS and calculus `
`03_CalculusUsefulForStat_exercise1.pdf       Calculus exercise 1`
`03_CalculusUsefulForStat_exercise2.pdf       Calculus exercise 2`
`03_CalculusUsefulForStat_exercise3.pdf       Calculus exercise 3`
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Week 3

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`Tu 8/31, 12:30-1:45pm (zoom recording 8/31) Hwk 1 part 1&2 due at noon `
`06_environmentalDataAndArcGIS.docx       General Guide to Environmental Data and ArcGIS`
`Phos_Data_and_Locations.DBF      Surface water Phosphorus data and locations in NJ`
`07_creatingDataLibraryforBME.docx        Obtaining Freshwater Quality Data for NJ `
`NJRaritanGIS.zip        NJ shapefiles and Surface water Phosphorus data and locations in NJ`
`NJRaritanGIS_5.zip      NJ shapefiles and Surface water Phosphorus data and locations in NJ (completed project)`
` `
`Th 9/02, 12:30-1:45pm (zoom recording week 3 Thursday)`
`Continuation of previous lecture`
` `
`Week 4  `
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`Tu 9/07, 12:30-1:45pm (zoom recording 9/17) Hwk 1 part 3 due at noon   Start hwk 2`
`04_MeasureTheoryUsefulForStat.docx       Measure theory useful for statistics`
`05_introToRandomVariables.docx       Introduction to Random Variables`
`05_introToRandomVariables_varExample.pdf       Variance example `
`05_introToRandomVariables_varExample.xlsx      Variance example spreadsheet`
` `
`Th 9/09, 12:30-1:45pm, (zoom recording 9/9)`
`05_introToRandomVariables_Exercise1-5.pdf       Random Variables exercise 1-5`
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`Week 5  `
` `
`Tu 9/14, 12:30-1:45pm   (zoom recording 9/14) `
`05_introToRandomVariables_ExerciseForHwk2.pdf      Exercise for homework 2`
`05_introToRandomVariables_ExerciseForHwk2.pptx    Exercise for homework 2`
`hwk2_NCnutrient.zip    Solution of hwk2 using nutrients in NC`
` `
`Th 9/16, 12:30-1:45pm   (zoom recording 9/16) Hwk 2 part 1&2 due at noon  Start hwk 3`
` `
`18_startingWithMatlab.docx  Starting with Matlab`
`19_startingWithBMElib.docx       Starting with BMElib`
`20_startingWithBMEGUI.pptx       Starting with BMEGUI`
` `
` `
`Week 6 `
` `
`Tu 9/21, 12:30-1:45pm  (zoom recording 9/21)`
`Continue starting with BMEGUI`
` `
`Th 9/23, 12:30-1:45pm (zoom recording 9/23) Hwk 3 due at noon  Start Hwk 4`
`Understanding covariance modeling using BMEGUI tutorial 1`
`21_modelingSpatialVariability.docx       Spatial covariance`
` `
`Week 7  `
` `
`Tu 9/28, 12:30-1:45pm (zoom recording 9/28)`
`Continue 21_modelingSpatialVariability.docx  `
`08_IntroductionToTGIS.docx      Introduction to TGIS (TGIS chapter 1)`
`17_spatiotemporalModelling.docx      Spatiotemporal modeling (TGIS chapter 2)`
` `
`Th 9/30, 12:30-1:45pm (zoom recording 9/30) Hwk 4 due at noon    Start Hwk 5  Exam 1 starts at 5pm`
`22_modelingSpaceTimeVariability.docx      Space/time covariance`
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`Week 8,  `
` `
`Tu 10/5, 12:30-1:45pm (zoom recording 10/5 first 30 min , next 45 min)`
`Continue modelingSpaceTimeVariability.docx`
` `
`Th 10/7, 12:30-1:45pm (zoom recording 10/7)`
`Continue modelingSpaceTimeVariability.docx`
`23_STvariabilityUsingBMEGUI.pptx       Covariance analysis  in  BMEGUI `
` `
`Week 9 `
` `
`Tu 10/12, NO Class, Wellness day  `
` `
`Th 10/14, 12:30-1:45pm (zoom recording 10/14)  Hwk 5 due at noon   Start Hwk 6 `
`15_IntroductionToMapping.docx      Introduction to Mapping `
`introToKrigingExample.m      BMElib kriging example`
`introToKrigingExample.pptx      BMElib kriging example`
`24_introToKriging.pptx      Introduction to kriging`
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`Week 10 `
` `
`Tu 10/19, 12:30-1:45pm (zoom recording 10/19)  `
`25_mappingEstimationUsingBMElib.docx       Mapping estimation using BMElib`
`26_mappingHardDataSTusingBMElib.docx        space/time mapping of hard data using BMElib`
`27_mappingEstimationUsingBMEGUI.pptx      Mapping estimation using BMEGUI `
` `
`Th 10/21, NO Class, Fall Break`
` `
`Week 11  `
` `
`Tu 10/26, 12:30-1:45pm  (zoom recording 10/26)  `
`24b_krigingWithOneDataPoint.pdf      Kriging equations with one data point`
` `
`Th 10/28, 12:30-1:45pm (zoom recording 10/28) Hwk 6 due at noon`
`Tips on modeling the covariance from real data`
`Tips on exam 2 on kriging `
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`Week 12 `
` `
`Tu 11/2, 12:30-1:45pm (zoom recording 11/02)`
`24c_krigingWithTwoDataPoints.pdf.     Kriging equations with two data points`
` `
`Th 11/4, 12:30-1:45pm (zoom recording 11/04) Exam 2 starts at 5pm      Start Hwk 7`
`hwk7part1and2practice.pdf        practice for hwk7 parts 1 and 2 `
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`Week 13 `
` `
`Tu 11/9, 12:30-1:45pm  (zoom recording 11/09)`
`Modeling the space/time covariance`
`Practice for hwk7 parts 1 and 2`
` `
`Th 11/11, 12:30-1:45pm (zoom recording 11/11) Hwk 7 part 1 and 2 due at noon (an extension of two days was granted if you need it)`
`Solution of exam 2`
`Deriving kriging (see 24c_krigingWithTwoDataPoints.pdf)`
`32_trendAndCovModeling.docx  Modeling the mean trend of a space/time random field`
`tutor06.zip        BMEGUI tutorial 6 `
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`Week 14 `
` `
`Tu 11/16, 12:30-1:45pm (zoom recording 11/16)`
`33_trendAndCovModelingBMEGUI.pptx       Mean trend and covariance modeling in BMEGUI `
` `
`Th 11/18, 12:30-1:45pm (zoom recording 11/18) Hwk 7 part 3 and 4 due at noon (No extension possible if you want to receive feedback before final project is due)`
`16_PM10CalifENVR468.pptx       Case study of PM10 mapping in California`
`31_mappingEstimationWithSoftData.docx  Using soft data in BME space/time mapping`
`28_Entropy.pptx      Information and Entropy `
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`Week 15 `
` `
`Tu 11/23, 12:30-1:45pm (zoom recording 11/23)`
`29_STmapping_part1_MaxEnt_GenKB.docx       S/T mapping - part 1, Maximum Entropy processing of general knowledge`
`Continue 29_STmapping_part1_MaxEnt_GenKB.docx       S/T mapping - part 1, Maximum Entropy processing of general knowledge`
`30_STmapping_part2_Bayesian_SpecKB.docx       S/T mapping - part 2, Bayesian epistemic processing of site specific knowledge `
`34_gaussianDistribution.docx       The multivariate Gaussian Distribution`
`35_STmapping_part3_SKlimitingCase.docx        S/T mapping - part 3, The Simple Kriging limiting case`
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`Th 11/25, NO Class, Thanksgiving`
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`Week 16 `
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`Tu 11/30, 12:30-1:45pm`
`Student preliminary presentation rehearsal`
` `
`Th 12/2, no class. Final project report (12 pages max) and Final presentation (3 slides / 3 min) due at noon `
`Fr 12/3, 12:00p-4pm in the usual room`
`Student final presentations`
`Students give their 3 slides / 3 min final project presentations (suggestion: 1 slide on intro and data, one slide on mean trend and covariance model, 1 slide on mapping results)`
`  `
`Extra material (not covered in class)`
`09_GISinPublicHealth.pptx       GIS in Public Health`
`10_HealthData&GIS.pptx      Health Data and GIS `
`11_Health_Exercise.docx      Health Exercise `
`12_Health_Data.xls      Health Data for the Health Exercise`
`mjrrds_And_zip_poly_Near_NC.zip      Roads and Zip Codes near NC, useful for the Health Exercise `
`13_GeocodingAssignment.docx       Geocoding Lecture Notes and Exercise Assignments (Instructor will demo).`
`13b_GeocodingFiles.zip       Files needed for the Geocoding Exercise Assignments (Instructor will demo).`
`14_mappingChlamydialInfectionLab.docx      Lab on mapping Chlamydial Infection (Do it at home)`
`14b_mappingChlamydialInfectionData.zip       Data needed for the lab on mapping Chlamydial Infection (Do it at home)`
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`back to:  ENVR 468`
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